Conferences in DBLP
Pieter Abbeel , Andrew Y. Ng Exploration and apprenticeship learning in reinforcement learning. [Citation Graph (0, 0)][DBLP ] Conf ] Brigham Anderson , Andrew Moore Active learning for Hidden Markov Models: objective functions and algorithms. [Citation Graph (0, 0)][DBLP ] Conf ] Nicos Angelopoulos , James Cussens Tempering for Bayesian C&RT. [Citation Graph (0, 0)][DBLP ] Conf ] Fabrizio Angiulli Fast condensed nearest neighbor rule. [Citation Graph (0, 0)][DBLP ] Conf ] Francis R. Bach , Michael I. Jordan Predictive low-rank decomposition for kernel methods. [Citation Graph (0, 0)][DBLP ] Conf ] Ron Bekkerman , Ran El-Yaniv , Andrew McCallum Multi-way distributional clustering via pairwise interactions. [Citation Graph (0, 0)][DBLP ] Conf ] Alina Beygelzimer , Varsha Dani , Tom Hayes , John Langford , Bianca Zadrozny Error limiting reductions between classification tasks. [Citation Graph (0, 0)][DBLP ] Conf ] Hendrik Blockeel , David Page , Ashwin Srinivasan Multi-instance tree learning. [Citation Graph (0, 0)][DBLP ] Conf ] Michael Bowling , Ali Ghodsi , Dana F. Wilkinson Action respecting embedding. [Citation Graph (0, 0)][DBLP ] Conf ] Markus Breitenbach , Gregory Z. Grudic Clustering through ranking on manifolds. [Citation Graph (0, 0)][DBLP ] Conf ] Will Bridewell , Narges Bani Asadi , Pat Langley , Ljupco Todorovski Reducing overfitting in process model induction. [Citation Graph (0, 0)][DBLP ] Conf ] Christopher J. C. Burges , Tal Shaked , Erin Renshaw , Ari Lazier , Matt Deeds , Nicole Hamilton , Gregory N. Hullender Learning to rank using gradient descent. [Citation Graph (0, 0)][DBLP ] Conf ] John Burge , Terran Lane Learning class-discriminative dynamic Bayesian networks. [Citation Graph (0, 0)][DBLP ] Conf ] Sylvain Calinon , Aude Billard Recognition and reproduction of gestures using a probabilistic framework combining PCA, ICA and HMM. [Citation Graph (0, 0)][DBLP ] Conf ] Michael Carney , Padraig Cunningham , Jim Dowling , Ciaran Lee Predicting probability distributions for surf height using an ensemble of mixture density networks. [Citation Graph (0, 0)][DBLP ] Conf ] Yu-Han Chang , Leslie Pack Kaelbling Hedged learning: regret-minimization with learning experts. [Citation Graph (0, 0)][DBLP ] Conf ] Li Cheng , Feng Jiao , Dale Schuurmans , Shaojun Wang Variational Bayesian image modelling. [Citation Graph (0, 0)][DBLP ] Conf ] Wei Chu , Zoubin Ghahramani Preference learning with Gaussian processes. [Citation Graph (0, 0)][DBLP ] Conf ] Wei Chu , S. Sathiya Keerthi New approaches to support vector ordinal regression. [Citation Graph (0, 0)][DBLP ] Conf ] Corinna Cortes , Mehryar Mohri , Jason Weston A general regression technique for learning transductions. [Citation Graph (0, 0)][DBLP ] Conf ] Jacob W. Crandall , Michael A. Goodrich Learning to compete, compromise, and cooperate in repeated general-sum games. [Citation Graph (0, 0)][DBLP ] Conf ] Hal Daumé III , Daniel Marcu Learning as search optimization: approximate large margin methods for structured prediction. [Citation Graph (0, 0)][DBLP ] Conf ] Fernando De la Torre , Takeo Kanade Multimodal oriented discriminant analysis. [Citation Graph (0, 0)][DBLP ] Conf ] Adam Drake , Dan Ventura A practical generalization of Fourier-based learning. [Citation Graph (0, 0)][DBLP ] Conf ] Kurt Driessens , Saso Dzeroski Combining model-based and instance-based learning for first order regression. [Citation Graph (0, 0)][DBLP ] Conf ] Yaakov Engel , Shie Mannor , Ron Meir Reinforcement learning with Gaussian processes. [Citation Graph (0, 0)][DBLP ] Conf ] Roberto Esposito , Lorenza Saitta Experimental comparison between bagging and Monte Carlo ensemble classification. [Citation Graph (0, 0)][DBLP ] Conf ] Thomas Finley , Thorsten Joachims Supervised clustering with support vector machines. [Citation Graph (0, 0)][DBLP ] Conf ] Holger Fröhlich , Jörg K. Wegner , Florian Sieker , Andreas Zell Optimal assignment kernels for attributed molecular graphs. [Citation Graph (0, 0)][DBLP ] Conf ] Pierre Geurts , Louis Wehenkel Closed-form dual perturb and combine for tree-based models. [Citation Graph (0, 0)][DBLP ] Conf ] Mark Girolami , Simon Rogers Hierarchic Bayesian models for kernel learning. [Citation Graph (0, 0)][DBLP ] Conf ] Karen Glocer , Damian Eads , James Theiler Online feature selection for pixel classification. [Citation Graph (0, 0)][DBLP ] Conf ] Eugene Grois , David C. Wilkins Learning strategies for story comprehension: a reinforcement learning approach. [Citation Graph (0, 0)][DBLP ] Conf ] Carlos Guestrin , Andreas Krause , Ajit Paul Singh Near-optimal sensor placements in Gaussian processes. [Citation Graph (0, 0)][DBLP ] Conf ] Gunjan Gupta , Joydeep Ghosh Robust one-class clustering using hybrid global and local search. [Citation Graph (0, 0)][DBLP ] Conf ] Xiaofei He , Deng Cai , Wanli Min Statistical and computational analysis of locality preserving projection. [Citation Graph (0, 0)][DBLP ] Conf ] Matthias Hein , Jean-Yves Audibert Intrinsic dimensionality estimation of submanifolds in Rd . [Citation Graph (0, 0)][DBLP ] Conf ] Katherine A. Heller , Zoubin Ghahramani Bayesian hierarchical clustering. [Citation Graph (0, 0)][DBLP ] Conf ] Mark Herbster , Massimiliano Pontil , Lisa Wainer Online learning over graphs. [Citation Graph (0, 0)][DBLP ] Conf ] Simon I. Hill , Arnaud Doucet Adapting two-class support vector classification methods to many class problems. [Citation Graph (0, 0)][DBLP ] Conf ] Shen-Shyang Ho A martingale framework for concept change detection in time-varying data streams. [Citation Graph (0, 0)][DBLP ] Conf ] Eugene Ie , Jason Weston , William Stafford Noble , Christina S. Leslie Multi-class protein fold recognition using adaptive codes. [Citation Graph (0, 0)][DBLP ] Conf ] Okhtay Ilghami , Héctor Muñoz-Avila , Dana S. Nau , David W. Aha Learning approximate preconditions for methods in hierarchical plans. [Citation Graph (0, 0)][DBLP ] Conf ] Neil Ireson , Fabio Ciravegna , Mary Elaine Califf , Dayne Freitag , Nicholas Kushmerick , Alberto Lavelli Evaluating machine learning for information extraction. [Citation Graph (0, 0)][DBLP ] Conf ] Rong Jin , Joyce Y. Chai , Luo Si Learn to weight terms in information retrieval using category information. [Citation Graph (0, 0)][DBLP ] Conf ] Rong Jin , Jian Zhang A smoothed boosting algorithm using probabilistic output codes. [Citation Graph (0, 0)][DBLP ] Conf ] Yushi Jing , Vladimir Pavlovic , James M. Rehg Efficient discriminative learning of Bayesian network classifier via boosted augmented naive Bayes. [Citation Graph (0, 0)][DBLP ] Conf ] Thorsten Joachims A support vector method for multivariate performance measures. [Citation Graph (0, 0)][DBLP ] Conf ] Thorsten Joachims , John E. Hopcroft Error bounds for correlation clustering. [Citation Graph (0, 0)][DBLP ] Conf ] Sébastien Jodogne , Justus H. Piater Interactive learning of mappings from visual percepts to actions. [Citation Graph (0, 0)][DBLP ] Conf ] Anders Jonsson , Andrew G. Barto A causal approach to hierarchical decomposition of factored MDPs. [Citation Graph (0, 0)][DBLP ] Conf ] Matti Kääriäinen , John Langford A comparison of tight generalization error bounds. [Citation Graph (0, 0)][DBLP ] Conf ] S. Sathiya Keerthi Generalized LARS as an effective feature selection tool for text classification with SVMs. [Citation Graph (0, 0)][DBLP ] Conf ] Rinat Khoussainov , Andreas Heß , Nicholas Kushmerick Ensembles of biased classifiers. [Citation Graph (0, 0)][DBLP ] Conf ] Mikko Koivisto , Kismat Sood Computational aspects of Bayesian partition models. [Citation Graph (0, 0)][DBLP ] Conf ] Stanley Kok , Pedro Domingos Learning the structure of Markov logic networks. [Citation Graph (0, 0)][DBLP ] Conf ] Jeremy Z. Kolter , Marcus A. Maloof Using additive expert ensembles to cope with concept drift. [Citation Graph (0, 0)][DBLP ] Conf ] Brian Kulis , Sugato Basu , Inderjit S. Dhillon , Raymond J. Mooney Semi-supervised graph clustering: a kernel approach. [Citation Graph (0, 0)][DBLP ] Conf ] Thomas Navin Lal , Michael Schröder 0002 , N. Jeremy Hill , Hubert Preißl , Thilo Hinterberger , Jürgen Mellinger , Martin Bogdan , Wolfgang Rosenstiel , Thomas Hofmann , Niels Birbaumer , Bernhard Schölkopf A brain computer interface with online feedback based on magnetoencephalography. [Citation Graph (0, 0)][DBLP ] Conf ] John Langford , Bianca Zadrozny Relating reinforcement learning performance to classification performance. [Citation Graph (0, 0)][DBLP ] Conf ] François Laviolette , Mario Marchand PAC-Bayes risk bounds for sample-compressed Gibbs classifiers. [Citation Graph (0, 0)][DBLP ] Conf ] Quoc V. Le , Alexander J. Smola , Stéphane Canu Heteroscedastic Gaussian process regression. [Citation Graph (0, 0)][DBLP ] Conf ] Rui Leite , Pavel Brazdil Predicting relative performance of classifiers from samples. [Citation Graph (0, 0)][DBLP ] Conf ] Xuejun Liao , Ya Xue , Lawrence Carin Logistic regression with an auxiliary data source. [Citation Graph (0, 0)][DBLP ] Conf ] Yan Liu , Eric P. Xing , Jaime G. Carbonell Predicting protein folds with structural repeats using a chain graph model. [Citation Graph (0, 0)][DBLP ] Conf ] Philip M. Long , Vinay Varadan , Sarah Gilman , Mark Treshock , Rocco A. Servedio Unsupervised evidence integration. [Citation Graph (0, 0)][DBLP ] Conf ] Daniel Lowd , Pedro Domingos Naive Bayes models for probability estimation. [Citation Graph (0, 0)][DBLP ] Conf ] Sofus A. Macskassy , Foster J. Provost , Saharon Rosset ROC confidence bands: an empirical evaluation. [Citation Graph (0, 0)][DBLP ] Conf ] Rasmus Elsborg Madsen , David Kauchak , Charles Elkan Modeling word burstiness using the Dirichlet distribution. [Citation Graph (0, 0)][DBLP ] Conf ] Sridhar Mahadevan Proto-value functions: developmental reinforcement learning. [Citation Graph (0, 0)][DBLP ] Conf ] Shie Mannor , Dori Peleg , Reuven Y. Rubinstein The cross entropy method for classification. [Citation Graph (0, 0)][DBLP ] Conf ] H. Brendan McMahan , Maxim Likhachev , Geoffrey J. Gordon Bounded real-time dynamic programming: RTDP with monotone upper bounds and performance guarantees. [Citation Graph (0, 0)][DBLP ] Conf ] Marina Meila Comparing clusterings: an axiomatic view. [Citation Graph (0, 0)][DBLP ] Conf ] Sauro Menchetti , Fabrizio Costa , Paolo Frasconi Weighted decomposition kernels. [Citation Graph (0, 0)][DBLP ] Conf ] Jeff Michels , Ashutosh Saxena , Andrew Y. Ng High speed obstacle avoidance using monocular vision and reinforcement learning. [Citation Graph (0, 0)][DBLP ] Conf ] Sriraam Natarajan , Prasad Tadepalli Dynamic preferences in multi-criteria reinforcement learning. [Citation Graph (0, 0)][DBLP ] Conf ] Sriraam Natarajan , Prasad Tadepalli , Eric Altendorf , Thomas G. Dietterich , Alan Fern , Angelo C. Restificar Learning first-order probabilistic models with combining rules. [Citation Graph (0, 0)][DBLP ] Conf ] DucDung Nguyen , Tu Bao Ho An efficient method for simplifying support vector machines. [Citation Graph (0, 0)][DBLP ] Conf ] Alexandru Niculescu-Mizil , Rich Caruana Predicting good probabilities with supervised learning. [Citation Graph (0, 0)][DBLP ] Conf ] Santiago Ontañón , Enric Plaza Recycling data for multi-agent learning. [Citation Graph (0, 0)][DBLP ] Conf ] Jean-François Paiement , Douglas Eck , Samy Bengio , David Barber A graphical model for chord progressions embedded in a psychoacoustic space. [Citation Graph (0, 0)][DBLP ] Conf ] Lucas Paletta , Gerald Fritz , Christin Seifert Q-learning of sequential attention for visual object recognition from informative local descriptors. [Citation Graph (0, 0)][DBLP ] Conf ] Franz Pernkopf , Jeff A. Bilmes Discriminative versus generative parameter and structure learning of Bayesian network classifiers. [Citation Graph (0, 0)][DBLP ] Conf ] Tadeusz Pietraszek Optimizing abstaining classifiers using ROC analysis. [Citation Graph (0, 0)][DBLP ] Conf ] Barnabás Póczos , András Lörincz Independent subspace analysis using geodesic spanning trees. [Citation Graph (0, 0)][DBLP ] Conf ] Ganesh Ramakrishnan , Krishna Prasad Chitrapura , Raghu Krishnapuram , Pushpak Bhattacharyya A model for handling approximate, noisy or incomplete labeling in text classification. [Citation Graph (0, 0)][DBLP ] Conf ] Carl Edward Rasmussen , Joaquin Quiñonero Candela Healing the relevance vector machine through augmentation. [Citation Graph (0, 0)][DBLP ] Conf ] Soumya Ray , Mark Craven Supervised versus multiple instance learning: an empirical comparison. [Citation Graph (0, 0)][DBLP ] Conf ] Soumya Ray , David Page Generalized skewing for functions with continuous and nominal attributes. [Citation Graph (0, 0)][DBLP ] Conf ] Jason D. M. Rennie , Nathan Srebro Fast maximum margin matrix factorization for collaborative prediction. [Citation Graph (0, 0)][DBLP ] Conf ] Khashayar Rohanimanesh , Sridhar Mahadevan Coarticulation: an approach for generating concurrent plans in Markov decision processes. [Citation Graph (0, 0)][DBLP ] Conf ] Bernard Rosell , Lisa Hellerstein , Soumya Ray , David Page Why skewing works: learning difficult Boolean functions with greedy tree learners. [Citation Graph (0, 0)][DBLP ] Conf ] Dan Roth , Wen-tau Yih Integer linear programming inference for conditional random fields. [Citation Graph (0, 0)][DBLP ] Conf ] Juho Rousu , Craig Saunders , Sándor Szedmák , John Shawe-Taylor Learning hierarchical multi-category text classification models. [Citation Graph (0, 0)][DBLP ] Conf ] Jarkko Salojärvi , Kai Puolamäki , Samuel Kaski Expectation maximization algorithms for conditional likelihoods. [Citation Graph (0, 0)][DBLP ] Conf ] Sajama , Alon Orlitsky Estimating and computing density based distance metrics. [Citation Graph (0, 0)][DBLP ] Conf ] Sajama , Alon Orlitsky Supervised dimensionality reduction using mixture models. [Citation Graph (0, 0)][DBLP ] Conf ] Bernhard Schölkopf , Florian Steinke , Volker Blanz Object correspondence as a machine learning problem. [Citation Graph (0, 0)][DBLP ] Conf ] Fei Sha , Lawrence K. Saul Analysis and extension of spectral methods for nonlinear dimensionality reduction. [Citation Graph (0, 0)][DBLP ] Conf ] Amnon Shashua , Tamir Hazan Non-negative tensor factorization with applications to statistics and computer vision. [Citation Graph (0, 0)][DBLP ] Conf ] Sajid M. Siddiqi , Andrew W. Moore Fast inference and learning in large-state-space HMMs. [Citation Graph (0, 0)][DBLP ] Conf ] Ricardo Silva , Richard Scheines New d-separation identification results for learning continuous latent variable models. [Citation Graph (0, 0)][DBLP ] Conf ] Özgür Simsek , Alicia P. Wolfe , Andrew G. Barto Identifying useful subgoals in reinforcement learning by local graph partitioning. [Citation Graph (0, 0)][DBLP ] Conf ] Vikas Sindhwani , Partha Niyogi , Mikhail Belkin Beyond the point cloud: from transductive to semi-supervised learning. [Citation Graph (0, 0)][DBLP ] Conf ] Rohit Singh , Nathan Palmer , David K. Gifford , Bonnie Berger , Ziv Bar-Joseph Active learning for sampling in time-series experiments with application to gene expression analysis. [Citation Graph (0, 0)][DBLP ] Conf ] Edward Snelson , Zoubin Ghahramani Compact approximations to Bayesian predictive distributions. [Citation Graph (0, 0)][DBLP ] Conf ] Sören Sonnenburg , Gunnar Rätsch , Bernhard Schölkopf Large scale genomic sequence SVM classifiers. [Citation Graph (0, 0)][DBLP ] Conf ] Alexander L. Strehl , Michael L. Littman A theoretical analysis of Model-Based Interval Estimation. [Citation Graph (0, 0)][DBLP ] Conf ] Qiang Sun , Gerald DeJong Explanation-Augmented SVM: an approach to incorporating domain knowledge into SVM learning. [Citation Graph (0, 0)][DBLP ] Conf ] Yijun Sun , Sinisa Todorovic , Jian Li , Dapeng Wu Unifying the error-correcting and output-code AdaBoost within the margin framework. [Citation Graph (0, 0)][DBLP ] Conf ] Csaba Szepesvári , Rémi Munos Finite time bounds for sampling based fitted value iteration. [Citation Graph (0, 0)][DBLP ] Conf ] Brian Tanner , Richard S. Sutton TD(lambda) networks: temporal-difference networks with eligibility traces. [Citation Graph (0, 0)][DBLP ] Conf ] Benjamin Taskar , Vassil Chatalbashev , Daphne Koller , Carlos Guestrin Learning structured prediction models: a large margin approach. [Citation Graph (0, 0)][DBLP ] Conf ] Marc Toussaint , Sethu Vijayakumar Learning discontinuities with products-of-sigmoids for switching between local models. [Citation Graph (0, 0)][DBLP ] Conf ] Ivor W. Tsang , James T. Kwok , Kimo T. Lai Core Vector Regression for very large regression problems. [Citation Graph (0, 0)][DBLP ] Conf ] Koji Tsuda Propagating distributions on a hypergraph by dual information regularization. [Citation Graph (0, 0)][DBLP ] Conf ] Sriharsha Veeramachaneni , Diego Sona , Paolo Avesani Hierarchical Dirichlet model for document classification. [Citation Graph (0, 0)][DBLP ] Conf ] Christian Walder , Olivier Chapelle , Bernhard Schölkopf Implicit surface modelling as an eigenvalue problem. [Citation Graph (0, 0)][DBLP ] Conf ] Chang Wang , Stephen D. Scott New kernels for protein structural motif discovery and function classification. [Citation Graph (0, 0)][DBLP ] Conf ] Shaojun Wang , Shaomin Wang , Russell Greiner , Dale Schuurmans , Li Cheng Exploiting syntactic, semantic and lexical regularities in language modeling via directed Markov random fields. [Citation Graph (0, 0)][DBLP ] Conf ] Tao Wang , Daniel J. Lizotte , Michael H. Bowling , Dale Schuurmans Bayesian sparse sampling for on-line reward optimization. [Citation Graph (0, 0)][DBLP ] Conf ] Eric Wiewiora Learning predictive representations from a history. [Citation Graph (0, 0)][DBLP ] Conf ] David Williams , Xuejun Liao , Ya Xue , Lawrence Carin Incomplete-data classification using logistic regression. [Citation Graph (0, 0)][DBLP ] Conf ] Britton Wolfe , Michael R. James , Satinder P. Singh Learning predictive state representations in dynamical systems without reset. [Citation Graph (0, 0)][DBLP ] Conf ] Jianxin Wu , Matthew D. Mullin , James M. Rehg Linear Asymmetric Classifier for cascade detectors. [Citation Graph (0, 0)][DBLP ] Conf ] Mingrui Wu , Bernhard Schölkopf , Gökhan H. Bakir Building Sparse Large Margin Classifiers. [Citation Graph (0, 0)][DBLP ] Conf ] Zhao Xu , Volker Tresp , Kai Yu , Shipeng Yu , Hans-Peter Kriegel Dirichlet enhanced relational learning. [Citation Graph (0, 0)][DBLP ] Conf ] Kai Yu , Volker Tresp , Anton Schwaighofer Learning Gaussian processes from multiple tasks. [Citation Graph (0, 0)][DBLP ] Conf ] Harry Zhang , Liangxiao Jiang , Jiang Su Augmenting naive Bayes for ranking. [Citation Graph (0, 0)][DBLP ] Conf ] Ding Zhou , Jia Li , Hongyuan Zha A new Mallows distance based metric for comparing clusterings. [Citation Graph (0, 0)][DBLP ] Conf ] Dengyong Zhou , Jiayuan Huang , Bernhard Schölkopf Learning from labeled and unlabeled data on a directed graph. [Citation Graph (0, 0)][DBLP ] Conf ] Jun Zhu , Zaiqing Nie , Ji-Rong Wen , Bo Zhang , Wei-Ying Ma 2D Conditional Random Fields for Web information extraction. [Citation Graph (0, 0)][DBLP ] Conf ] Xiaojin Zhu , John D. Lafferty Harmonic mixtures: combining mixture models and graph-based methods for inductive and scalable semi-supervised learning. [Citation Graph (0, 0)][DBLP ] Conf ] Alexander Zien , Joaquin Quiñonero Candela Large margin non-linear embedding. [Citation Graph (0, 0)][DBLP ] Conf ] 