Conferences in DBLP
Rafael Serrano-Gotarredona , Matthias Oster , Patrick Lichtsteiner , Alejandro Linares-Barranco , R. Paz-Vicente , F. Gomez-Rodriguez , Håvard Kolle Riis , Tobi Delbrück , Shih-Chii Liu , S. Zahnd , Adrian M. Whatley , Rodney J. Douglas , Philipp Häfliger , Gabriel Jiménez-Moreno , Antón Civit , Teresa Serrano-Gotarredona , A. Acosta-Jimenez , Bernabé Linares-Barranco AER Building Blocks for Multi-Layer Multi-Chip Neuromorphic Vision Systems. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Xiaofeng Ren , Charless Fowlkes , Jitendra Malik Cue Integration for Figure/Ground Labeling. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Pradeep D. Ravikumar , John Lafferty Preconditioner Approximations for Probabilistic Graphical Models. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Maxim Raginsky , Svetlana Lazebnik Estimation of Intrinsic Dimensionality Using High-Rate Vector Quantization. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Doina Precup , Richard S. Sutton , Cosmin Paduraru , Anna Koop , Satinder P. Singh Off-policy Learning with Options and Recognizers. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Brian Potetz , Tai Sing Lee Scaling Laws in Natural Scenes and the Inference of 3D Shape. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Jean-Pascal Pfister , Wulfram Gerstner Beyond Pair-Based STDP: a Phenomenological Rule for Spike Triplet and Frequency Effects. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Ofer Pasternak , Nir A. Sochen , Nathan Intrator , Yaniv Assaf Neuronal Fiber Delineation in Area of Edema from Diffusion Weighted MRI. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Liam Paninski Nonparametric inference of prior probabilities from Bayes-optimal behavior. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Jason A. Palmer , David P. Wipf , Kenneth Kreutz-Delgado , Bhaskar D. Rao Variational EM Algorithms for Non-Gaussian Latent Variable Models. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Matthias Oster , Shih-Chii Liu Spiking Inputs to a Winner-take-all Network. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Benjamin Van Roy TD(0) Leads to Better Policies than Approximate Value Iteration. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Teemu Roos , Peter Grünwald , Petri Myllymäki , Henry Tirri Generalization to Unseen Cases. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Purnamrita Sarkar , Andrew W. Moore Dynamic Social Network Analysis using Latent Space Models. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Clayton Scott , Robert D. Nowak Learning Minimum Volume Sets. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Odelia Schwartz , Terrence J. Sejnowski , Peter Dayan A Bayesian Framework for Tilt Perception and Confidence. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Brad Schumitsch , Sebastian Thrun , Gary R. Bradski , Kunle Olukotun The Information-Form Data Association Filter. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Nicol N. Schraudolph , Douglas Aberdeen , Jin Yu Fast Online Policy Gradient Learning with SMD Gain Vector Adaptation. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Michael Schmitt , Laura Martignon On the Accuracy of Bounded Rationality: How Far from Optimal Is Fast and Frugal?. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] André van Schaik , Richard Reeve , Craig T. Jin , Tara Julia Hamilton An aVLSI Cricket Ear Model. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Rory Sayres , David Ress , Kalanit Grill Spector Identifying Distributed Object Representations in Human Extrastriate Visual Cortex. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Ashutosh Saxena , Sung H. Chung , Andrew Y. Ng Learning Depth from Single Monocular Images. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Michele Rucci Visual Encoding with Jittering Eyes. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Eric Saund Logic and MRF Circuitry for Labeling Occluding and Thinline Visual Contours. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Guido Nolte , Andreas Ziehe , Frank C. Meinecke , Klaus-Robert Müller Analyzing Coupled Brain Sources: Distinguishing True from Spurious Interaction. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Yael Niv , Nathaniel D. Daw , Peter Dayan How fast to work: Response vigor, motivation and tonic dopamine. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Gergo Orbán , József Fiser , Richard N. Aslin , Máté Lengyel Bayesian model learning in human visual perception. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Michael Mozer , Michael Shettel , Shaun Vecera Top-Down Control of Visual Attention: A Rational Account. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Edward Meeds , Simon Osindero An Alternative Infinite Mixture Of Gaussian Process Experts. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Peter McCracken , Michael H. Bowling Online Discovery and Learning of Predictive State Representations. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Samuel McClure , Mark S. Gilzenrat , Jonathan D. Cohen An exploration-exploitation model based on norepinepherine and dopamine activity. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Baback Moghaddam , Yair Weiss , Shai Avidan Spectral Bounds for Sparse PCA: Exact and Greedy Algorithms. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Daichi Mochihashi , Yuji Matsumoto Context as Filtering. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Ciamac Cyrus Moallemi , Benjamin Van Roy Consensus Propagation. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Hongjing Lu , Alan L. Yuille Ideal Observers for Detecting Motion: Correspondence Noise. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Naoki Masuda , Shun-ichi Amari Modeling Memory Transfer and Saving in Cerebellar Motor Learning. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Aurelie C. Lozano , Sanjeev Kulkarni , Robert E. Schapire Convergence and Consistency of Regularized Boosting Algorithms with Stationary B-Mixing Observations. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Keiji Miura , Masato Okada , Shun-ichi Amari Unbiased Estimator of Shape Parameter for Spiking Irregularities under Changing Environments. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Tatsuto Murayama , Peter Davis Rate Distortion Codes in Sensor Networks. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Juan José Murillo-Fuentes , Sebatian Caro , Fernando Pérez-Cruz Gaussian Processes for Multiuser Detection in CDMA receivers. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] XuanLong Nguyen , Martin J. Wainwright , Michael I. Jordan Divergences, surrogate loss functions and experimental design. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Manfred Opper An Approximate Inference Approach for the PCA Reconstruction Error. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Daniel B. Neill , Andrew W. Moore , Gregory F. Cooper A Bayesian Spatial Scan Statistic. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Amir Navot , Lavi Shpigelman , Naftali Tishby , Eilon Vaadia Nearest Neighbor Based Feature Selection for Regression and its Application to Neural Activity. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Vidhya Navalpakkam , Laurent Itti Optimal cue selection strategy. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Mukund Narasimhan , Nebojsa Jojic , Jeff Bilmes Q-Clustering. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Yusuke Nakashita , Yoshio Mita , Tadashi Shibata An Analog Visual Pre-Processing Processor. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Srikantan S. Nagarajan , Hagai Attias , Kenneth E. Hild II , Kensuke Sekihara Stimulus Evoked Independent Factor Analysis of MEG Data with Large Background Activity. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Boaz Nadler , Stephane Lafon , Ronald R. Coifman , Ioannis G. Kevrekidis Diffusion Maps, Spectral Clustering and Eigenfunctions of Fokker-Planck Operators. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Iain Murray , David MacKay , Zoubin Ghahramani , John Skilling Nested sampling for Potts models. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Nicolas Loeff , Himanshu Arora , Alexander Sorokin , David A. Forsyth Efficient Unsupervised Learning for Localization and Detection in Object Categories. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Jorge Silva , Jorge S. Marques , João Miranda Lemos Selecting Landmark Points for Sparse Manifold Learning. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Laurent Zwald , Gilles Blanchard On the Convergence of Eigenspaces in Kernel Principal Component Analysis. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Frank Wood , Stefan Roth , Michael J. Black Modeling Neural Population Spiking Activity with Gibbs Distributions. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] K. Y. Michael Wong , David Saad , Zhuo Gao Message passing for task redistribution on sparse graphs. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] David P. Wipf , Bhaskar D. Rao Comparing the Effects of Different Weight Distributions on Finding Sparse Representations. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Christopher K. I. Williams , John A. Quinn , Neil McIntosh Factorial Switching Kalman Filters for Condition Monitoring in Neonatal Intensive Care. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Jim Wielaard , Paul Sajda Neural mechanisms of contrast dependent receptive field size in V1. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Bo Wen , Kwabena Boahen Active Bidirectional Coupling in a Cochlear Chip. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Gabriel Y. Weintraub , C. Lanier Benkard , Benjamin Van Roy Oblivious Equilibrium: A Mean Field Approximation for Large-Scale Dynamic Games. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Inna Weiner , Tomer Hertz , Israel Nelken , Daphna Weinshall Analyzing Auditory Neurons by Learning Distance Functions. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Kilian Q. Weinberger , John Blitzer , Lawrence K. Saul Distance Metric Learning for Large Margin Nearest Neighbor Classification. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Kazuho Watanabe , Sumio Watanabe Variational Bayesian Stochastic Complexity of Mixture Models. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Byron Yu , Afsheen Afshar , Gopal Santhanam , Stephen I. Ryu , Krishna Shenoy , Maneesh Sahani Extracting Dynamical Structure Embedded in Neural Activity. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Shipeng Yu , Kai Yu , Volker Tresp Soft Clustering on Graphs. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Alan L. Yuille Augmented Rescorla-Wagner and Maximum Likelihood Estimation. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Martin Zinkevich , Amy R. Greenwald , Michael L. Littman Cyclic Equilibria in Markov Games. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Long Zhu , Alan L. Yuille A Hierarchical Compositional System for Rapid Object Detection. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Zhenyue Zhang , Hongyuan Zha A Domain Decomposition Method for Fast Manifold Learning. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Yungang Zhang , Changshui Zhang Separation of Music Signals by Harmonic Structure Modeling. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Wei Zhang 0002 , Hyejin Yang , Dimitris Samaras , Gregory J. Zelinsky A Computational Model of Eye Movements during Object Class Detection. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Lei Zhang 0002 , Dimitris Samaras , Nelly Alia-Klein , Nora Volkow , Rita Goldstein Modeling Neuronal Interactivity using Dynamic Bayesian Networks. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Jian Zhang , Zoubin Ghahramani , Yiming Yang Learning Multiple Related Tasks using Latent Independent Component Analysis. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Dong Zhang , Daniel Gatica-Perez , Samy Bengio , Deb Roy Learning Influence among Interacting Markov Chains. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Tong Zhang , Rie Ando Analysis of Spectral Kernel Design based Semi-supervised Learning. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Gregory J. Zelinsky , Wei Zhang 0002 , Bing Yu , Xin Chen , Dimitris Samaras The Role of Top-down and Bottom-up Processes in Guiding Eye Movements during Visual Search. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Manfred K. Warmuth A Bayes Rule for Density Matrices. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Xuerui Wang , Natasha Mohanty , Andrew McCallum Group and Topic Discovery from Relations and Their Attributes. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Jack M. Wang , David J. Fleet , Aaron Hertzmann Gaussian Process Dynamical Models. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Richard S. Sutton , Eddie J. Rafols , Anna Koop Temporal Abstraction in Temporal-difference Networks. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Masashi Sugiyama Active Learning for Misspecified Models. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Erik B. Sudderth , Antonio B. Torralba , William T. Freeman , Alan S. Willsky Describing Visual Scenes using Transformed Dirichlet Processes. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Alan Stocker , Eero P. Simoncelli Sensory Adaptation within a Bayesian Framework for Perception. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Mark Steyvers , Scott Brown Prediction and Change Detection. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Sören Sonnenburg , Gunnar Rätsch , Christin Schäfer A General and Efficient Multiple Kernel Learning Algorithm. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Le Song , Evian Gordon , Elly Gysels Phase Synchrony Rate for the Recognition of Motor Imagery in Brain-Computer Interface. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Edward Snelson , Zoubin Ghahramani Sparse Gaussian Processes using Pseudo-inputs. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Cristian Sminchisescu , Atul Kanaujia , Zhiguo Li , Dimitris N. Metaxas Conditional Visual Tracking in Kernel Space. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Yirong Shen , Andrew Y. Ng , Matthias Seeger Fast Gaussian Process Regression using KD-Trees. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Jun Suzuki , Hideki Isozaki Sequence and Tree Kernels with Statistical Feature Mining. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Brian Taba , Kwabena Boahen Silicon growth cones map silicon retina. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Minija Tamosiunaite , Bernd Porr , Florentin Wörgötter Temporally changing synaptic plasticity. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Michael B. Wakin , Marco F. Duarte , Shriram Sarvotham , Dror Baron , Richard G. Baraniuk Recovery of Jointly Sparse Signals from Few Random Projections. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Martin J. Wainwright Estimating the wrong Markov random field: Benefits in the computation-limited setting. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Paul A. Viola , John Platt , Cha Zhang Multiple Instance Boosting for Object Detection. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Régis Vert , Jean-Philippe Vert Consistency of one-class SVM and related algorithms. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Jean-Philippe Vert , Robert Thurman , William Stafford Noble Kernels for gene regulatory regions. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Deepak Verma , Rajesh P. N. Rao Goal-Based Imitation as Probabilistic Inference over Graphical Models. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Nicolas Usunier , Massih-Reza Amini , Patrick Gallinari Generalization error bounds for classifiers trained with interdependent data. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Jo-Anne Ting , Aaron D'Souza , Kenji Yamamoto , Toshinori Yoshioka , Donna L. Hoffman , Lauren Sergio , Shinji Kakei , John Kalaska , Mitsuo Kawato , Peter Strick , Stefan Schaal Predicting EMG Data from M1 Neurons with Variational Bayesian Least Squares. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Sebastian Thrun Affine Structure From Sound. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Benjamin Taskar , Simon Lacoste-Julien , Michael I. Jordan Structured Prediction via the Extragradient Method. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Aaron P. Shon , Keith Grochow , Aaron Hertzmann , Rajesh P. N. Rao Learning Shared Latent Structure for Image Synthesis and Robotic Imitation. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Uri Maoz , Elon Portugaly , Tamar Flash , Yair Weiss Noise and the two-thirds power Law. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Artur S. d'Avila Garcez , Luís C. Lamb , Dov M. Gabbay A Connectionist Model for Constructive Modal Reasoning. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] James Diebel , Sebastian Thrun An Application of Markov Random Fields to Range Sensing. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Inderjit S. Dhillon , Suvrit Sra Generalized Nonnegative Matrix Approximations with Bregman Divergences. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Ricky Der , Daniel Lee Beyond Gaussian Processes: On the Distributions of Infinite Networks. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Ofer Dekel , Shai Shalev-Shwartz , Yoram Singer The Forgetron: A Kernel-Based Perceptron on a Fixed Budget. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Ofer Dekel , Yoram Singer Data-Driven Online to Batch Conversions. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Peter Dayan , Angela J. Yu Norepinephrine and Neural Interrupts. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Sanjoy Dasgupta Coarse sample complexity bounds for active learning. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Márton Danóczy , Richard H. R. Hahnloser Efficient estimation of hidden state dynamics from spike trains. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Koby Crammer , Michael S. Kearns , Jennifer Wortman Learning from Data of Variable Quality. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Yixin Chen , Ya Zhang , Xiang Ji Size Regularized Cut for Data Clustering. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Eizaburo Doi , Doru-Cristian Balcan , Michael S. Lewicki A Theoretical Analysis of Robust Coding over Noisy Overcomplete Channels. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Guido Dornhege , Benjamin Blankertz , Matthias Krauledat , Florian Losch , Gabriel Curio , Klaus-Robert Müller Optimizing spatio-temporal filters for improving Brain-Computer Interfacing. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Miroslav Dudík , Robert E. Schapire , Steven J. Phillips Correcting sample selection bias in maximum entropy density estimation. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Glenn Fung , Rómer Rosales , Balaji Krishnapuram Learning Rankings via Convex Hull Separation. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Kenji Fukumizu , Francis R. Bach , Arthur Gretton Statistical Convergence of Kernel CCA. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Brendan J. Frey , Delbert Dueck Mixture Modeling by Affinity Propagation. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Nando de Freitas , Yang Wang , Maryam Mahdaviani , Dustin Lang Fast Krylov Methods for N-Body Learning. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] François Fleuret , Gilles Blanchard Pattern Recognition from One Example by Chopping. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Patrick Flaherty , Michael I. Jordan , Adam P. Arkin Robust design of biological experiments. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Jason D. R. Farquhar , David R. Hardoon , Hongying Meng , John Shawe-Taylor , Sándor Szedmák Two view learning: SVM-2K, Theory and Practice. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Yaakov Engel , Peter Szabó , Dmitry Volkinshtein Learning to Control an Octopus Arm with Gaussian Process Temporal Difference Methods. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Austin I. Eliazar , Ronald Parr Hierarchical Linear/Constant Time SLAM Using Particle Filters for Dense Maps. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Jaety Edwards , David A. Forsyth Searching for Character Models. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Antoni B. Chan , Nuno Vasconcelos Layered Dynamic Textures. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Nicolò Cesa-Bianchi , Claudio Gentile Improved risk tail bounds for on-line algorithms. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Abdullah Celik , Milutin Stanacevic , Gert Cauwenberghs Gradient Flow Independent Component Analysis in Micropower VLSI. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Yasemin Altun , David A. McAllester , Mikhail Belkin Margin Semi-Supervised Learning for Structured Variables. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Chuong Do , Andrew Y. Ng Transfer learning for text classification. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Brigham Anderson , Andrew W. Moore Fast Information Value for Graphical Models. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Michaël Aupetit Learning Topology with the Generative Gaussian Graph and the EM Algorithm. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Misha Ahrens , Quentin Huys , Liam Paninski Large-scale biophysical parameter estimation in single neurons via constrained linear regression. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Felix V. Agakov , David Barber Kernelized Infomax Clustering. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Douglas Aberdeen Policy-Gradient Methods for Planning. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] John V. Arthur , Kwabena Boahen Learning in Silicon: Timing is Everything. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Andreas Argyriou , Mark Herbster , Massimiliano Pontil Combining Graph Laplacians for Semi-Supervised Learning. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Pieter Abbeel , Varun Ganapathi , Andrew Y. Ng Learning vehicular dynamics, with application to modeling helicopters. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] J. Ignacio Alvarez-Hamelin , Luca Dall'Asta , Alain Barrat , Alessandro Vespignani Large scale networks fingerprinting and visualization using the k-core decomposition. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Drew Bagnell , Andrew Y. Ng On Local Rewards and Scaling Distributed Reinforcement Learning. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] David Arathorn A Cortically-Plausible Inverse Problem Solving Method Applied to Recognizing Static and Kinematic 3D Objects. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Rui Castro , Rebecca Willett , Robert Nowak Faster Rates in Regression via Active Learning. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Razvan C. Bunescu , Raymond J. Mooney Subsequence Kernels for Relation Extraction. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Brent Bryan , Jeff G. Schneider , Robert Nichol , Christopher Miller , Christopher Genovese , Larry Wasserman Active Learning For Identifying Function Threshold Boundaries. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Neil D. B. Bruce , John K. Tsotsos Saliency Based on Information Maximization. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Yoshua Bengio , Olivier Delalleau , Nicolas Le Roux The Curse of Highly Variable Functions for Local Kernel Machines. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] David M. Blei , John D. Lafferty Correlated Topic Models. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Doron Blatt , Alfred O. Hero From Weighted Classification to Policy Search. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Gilles Blanchard , Masashi Sugiyama , Motoaki Kawanabe , Vladimir Spokoiny , Klaus-Robert Müller Non-Gaussian Component Analysis: a Semi-parametric Framework for Linear Dimension Reduction. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Yoshua Bengio , Nicolas Le Roux , Pascal Vincent , Olivier Delalleau , Patrice Marcotte Convex Neural Networks. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Yoshua Bengio , Hugo Larochelle , Pascal Vincent Non-Local Manifold Parzen Windows. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Chris Baker , Joshua B. Tenenbaum , Rebecca Saxe Bayesian models of human action understanding. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Thomas Gärtner , Quoc V. Le , Simon Burton , Alex J. Smola , S. V. N. 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