Journals in DBLP
Dmitry Rusakov , Dan Geiger Asymptotic Model Selection for Naive Bayesian Networks. [Citation Graph (0, 0)][DBLP ] Journal ] Hyunsoo Kim , Peg Howland , Haesun Park Dimension Reduction in Text Classification with Support Vector Machines. [Citation Graph (0, 0)][DBLP ] Journal ] André Elisseeff , Theodoros Evgeniou , Massimiliano Pontil Stability of Randomized Learning Algorithms. [Citation Graph (0, 0)][DBLP ] Journal ] Gal Elidan , Nir Friedman Learning Hidden Variable Networks: The Information Bottleneck Approach. [Citation Graph (0, 0)][DBLP ] Journal ] John D. Lafferty , Guy Lebanon Diffusion Kernels on Statistical Manifolds. [Citation Graph (0, 0)][DBLP ] Journal ] Gal Chechik , Amir Globerson , Naftali Tishby , Yair Weiss Information Bottleneck for Gaussian Variables. [Citation Graph (0, 0)][DBLP ] Journal ] Günther Eibl , Karl Peter Pfeiffer Multiclass Boosting for Weak Classifiers. [Citation Graph (0, 0)][DBLP ] Journal ] Ingo Steinwart , Don R. Hush , Clint Scovel A Classification Framework for Anomaly Detection. [Citation Graph (0, 0)][DBLP ] Journal ] Jaakko Särelä , Harri Valpola Denoising Source Separation. [Citation Graph (0, 0)][DBLP ] Journal ] John Langford Tutorial on Practical Prediction Theory for Classification. [Citation Graph (0, 0)][DBLP ] Journal ] Savina Andonova Jaeger Generalization Bounds and Complexities Based on Sparsity and Clustering for Convex Combinations of Functions from Random Classes. [Citation Graph (0, 0)][DBLP ] Journal ] S. Sathiya Keerthi , Dennis DeCoste A Modified Finite Newton Method for Fast Solution of Large Scale Linear SVMs. [Citation Graph (0, 0)][DBLP ] Journal ] Ivor W. Tsang , James T. Kwok , Pak-Ming Cheung Core Vector Machines: Fast SVM Training on Very Large Data Sets. [Citation Graph (0, 0)][DBLP ] Journal ] Shivani Agarwal , Thore Graepel , Ralf Herbrich , Sariel Har-Peled , Dan Roth Generalization Bounds for the Area Under the ROC Curve. [Citation Graph (0, 0)][DBLP ] Journal ] Mario Marchand , Marina Sokolova Learning with Decision Lists of Data-Dependent Features. [Citation Graph (0, 0)][DBLP ] Journal ] Motoaki Kawanabe , Klaus-Robert Müller Estimating Functions for Blind Separation When Sources Have Variance Dependencies. [Citation Graph (0, 0)][DBLP ] Journal ] Jieping Ye Characterization of a Family of Algorithms for Generalized Discriminant Analysis on Undersampled Problems. [Citation Graph (0, 0)][DBLP ] Journal ] Damien Ernst , Pierre Geurts , Louis Wehenkel Tree-Based Batch Mode Reinforcement Learning. [Citation Graph (0, 0)][DBLP ] Journal ] Eran Segal , Dana Pe'er , Aviv Regev , Daphne Koller , Nir Friedman Learning Module Networks. [Citation Graph (0, 0)][DBLP ] Journal ] Tong Luo , Kurt Kramer , Dmitry B. Goldgof , Lawrence O. Hall , Scott Samson , Andrew Remsen , Thomas Hopkins Active Learning to Recognize Multiple Types of Plankton. [Citation Graph (0, 0)][DBLP ] Journal ] Theodoros Evgeniou , Charles A. Micchelli , Massimiliano Pontil Learning Multiple Tasks with Kernel Methods. [Citation Graph (0, 0)][DBLP ] Journal ] Marcus Hutter , Jan Poland Adaptive Online Prediction by Following the Perturbed Leader. [Citation Graph (0, 0)][DBLP ] Journal ] Aapo Hyvärinen Estimation of Non-Normalized Statistical Models by Score Matching. [Citation Graph (0, 0)][DBLP ] Journal ] Ofer Dekel , Shai Shalev-Shwartz , Yoram Singer Smooth epsiloon-Insensitive Regression by Loss Symmetrization. [Citation Graph (0, 0)][DBLP ] Journal ] Simone Fiori Quasi-Geodesic Neural Learning Algorithms Over the Orthogonal Group: A Tutorial. [Citation Graph (0, 0)][DBLP ] Journal ] Joseph F. Murray , Gordon F. Hughes , Kenneth Kreutz-Delgado Machine Learning Methods for Predicting Failures in Hard Drives: A Multiple-Instance Application. [Citation Graph (0, 0)][DBLP ] Journal ] Fabio Aiolli , Alessandro Sperduti Multiclass Classification with Multi-Prototype Support Vector Machines. [Citation Graph (0, 0)][DBLP ] Journal ] David Wingate , Kevin D. Seppi Prioritization Methods for Accelerating MDP Solvers. [Citation Graph (0, 0)][DBLP ] Journal ] Ernesto De Vito , Lorenzo Rosasco , Andrea Caponnetto , Umberto De Giovannini , Francesca Odone Learning from Examples as an Inverse Problem. [Citation Graph (0, 0)][DBLP ] Journal ] Alexander T. Ihler , John W. Fisher III , Alan S. Willsky Loopy Belief Propagation: Convergence and Effects of Message Errors. [Citation Graph (0, 0)][DBLP ] Journal ] Aharon Bar-Hillel , Tomer Hertz , Noam Shental , Daphna Weinshall Learning a Mahalanobis Metric from Equivalence Constraints. [Citation Graph (0, 0)][DBLP ] Journal ] Andreas Maurer Algorithmic Stability and Meta-Learning. [Citation Graph (0, 0)][DBLP ] Journal ] Koji Tsuda , Gunnar Rätsch , Manfred K. Warmuth Matrix Exponentiated Gradient Updates for On-line Learning and Bregman Projection. [Citation Graph (0, 0)][DBLP ] Journal ] Wei Chu , Zoubin Ghahramani Gaussian Processes for Ordinal Regression. [Citation Graph (0, 0)][DBLP ] Journal ] Cheng Soon Ong , Alexander J. Smola , Robert C. Williamson Learning the Kernel with Hyperkernels. [Citation Graph (0, 0)][DBLP ] Journal ] Susan A. Murphy A Generalization Error for Q-Learning. [Citation Graph (0, 0)][DBLP ] Journal ] Charles A. Micchelli , Massimiliano Pontil Learning the Kernel Function via Regularization. [Citation Graph (0, 0)][DBLP ] Journal ] Marianthi Markatou , Hong Tian , Shameek Biswas , George Hripcsak Analysis of Variance of Cross-Validation Estimators of the Generalization Error. [Citation Graph (0, 0)][DBLP ] Journal ] Marco Cuturi , Kenji Fukumizu , Jean-Philippe Vert Semigroup Kernels on Measures. [Citation Graph (0, 0)][DBLP ] Journal ] Luis B. Almeida Separating a Real-Life Nonlinear Image Mixture. [Citation Graph (0, 0)][DBLP ] Journal ] Evgeny Drukh , Yishay Mansour Concentration Bounds for Unigram Language Models. [Citation Graph (0, 0)][DBLP ] Journal ] Guy Shani , David Heckerman , Ronen I. Brafman An MDP-Based Recommender System. [Citation Graph (0, 0)][DBLP ] Journal ] Peter Binev , Albert Cohen , Wolfgang Dahmen , Ronald A. DeVore , Vladimir N. Temlyakov Universal Algorithms for Learning Theory Part I : Piecewise Constant Functions. [Citation Graph (0, 0)][DBLP ] Journal ] Juho Rousu , John Shawe-Taylor Efficient Computation of Gapped Substring Kernels on Large Alphabets. [Citation Graph (0, 0)][DBLP ] Journal ] Arindam Banerjee , Inderjit S. Dhillon , Joydeep Ghosh , Suvrit Sra Clustering on the Unit Hypersphere using von Mises-Fisher Distributions. [Citation Graph (0, 0)][DBLP ] Journal ] Atsuyoshi Nakamura , Michael Schmitt , Niels Schmitt , Hans-Ulrich Simon Inner Product Spaces for Bayesian Networks. [Citation Graph (0, 0)][DBLP ] Journal ] Roni Khardon , Rocco A. Servedio Maximum Margin Algorithms with Boolean Kernels. [Citation Graph (0, 0)][DBLP ] Journal ] Marc Boullé A Bayes Optimal Approach for Partitioning the Values of Categorical Attributes. [Citation Graph (0, 0)][DBLP ] Journal ] Ioannis Tsochantaridis , Thorsten Joachims , Thomas Hofmann , Yasemin Altun Large Margin Methods for Structured and Interdependent Output Variables. [Citation Graph (0, 0)][DBLP ] Journal ] Alain Rakotomamonjy , Stéphane Canu Frames, Reproducing Kernels, Regularization and Learning. [Citation Graph (0, 0)][DBLP ] Journal ] Robert G. Cowell Local Propagation in Conditional Gaussian Bayesian Networks. [Citation Graph (0, 0)][DBLP ] Journal ] Hal Daumé III , Daniel Marcu A Bayesian Model for Supervised Clustering with the Dirichlet Process Prior. [Citation Graph (0, 0)][DBLP ] Journal ] Antoine Bordes , Seyda Ertekin , Jason Weston , Léon Bottou Fast Kernel Classifiers with Online and Active Learning. [Citation Graph (0, 0)][DBLP ] Journal ] Gavin Brown , Jeremy L. Wyatt , Peter Tino Managing Diversity in Regression Ensembles. [Citation Graph (0, 0)][DBLP ] Journal ] Josh C. Bongard , Hod Lipson Active Coevolutionary Learning of Deterministic Finite Automata. [Citation Graph (0, 0)][DBLP ] Journal ] Malte Kuss , Carl Edward Rasmussen Assessing Approximate Inference for Binary Gaussian Process Classification. [Citation Graph (0, 0)][DBLP ] Journal ] Arindam Banerjee , Srujana Merugu , Inderjit S. Dhillon , Joydeep Ghosh Clustering with Bregman Divergences. [Citation Graph (0, 0)][DBLP ] Journal ] Georgios Sigletos , Georgios Paliouras , Constantine D. Spyropoulos , Michael Hatzopoulos Combining Information Extraction Systems Using Voting and Stacked Generalization. [Citation Graph (0, 0)][DBLP ] Journal ] Neil D. Lawrence Probabilistic Non-linear Principal Component Analysis with Gaussian Process Latent Variable Models. [Citation Graph (0, 0)][DBLP ] Journal ] Rie Kubota Ando , Tong Zhang A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data. [Citation Graph (0, 0)][DBLP ] Journal ] Lior Wolf , Amnon Shashua Feature Selection for Unsupervised and Supervised Inference: The Emergence of Sparsity in a Weight-Based Approach. [Citation Graph (0, 0)][DBLP ] Journal ] Rong-En Fan , Pai-Hsuen Chen , Chih-Jen Lin Working Set Selection Using Second Order Information for Training Support Vector Machines. [Citation Graph (0, 0)][DBLP ] Journal ] Judy Goldsmith , Robert H. Sloan New Horn Revision Algorithms. [Citation Graph (0, 0)][DBLP ] Journal ] Joaquin Quiñonero Candela , Carl Edward Rasmussen A Unifying View of Sparse Approximate Gaussian Process Regression. [Citation Graph (0, 0)][DBLP ] Journal ] Onno Zoeter , Tom Heskes Change Point Problems in Linear Dynamical Systems. [Citation Graph (0, 0)][DBLP ] Journal ] Leila Mohammadi , Sara van de Geer Asymptotics in Empirical Risk Minimization. [Citation Graph (0, 0)][DBLP ] Journal ] Asela Gunawardana , William Byrne Convergence Theorems for Generalized Alternating Minimization Procedures. [Citation Graph (0, 0)][DBLP ] Journal ] Arthur Gretton , Ralf Herbrich , Alexander J. Smola , Olivier Bousquet , Bernhard Schölkopf Kernel Methods for Measuring Independence. [Citation Graph (0, 0)][DBLP ] Journal ] Gunnar Rätsch , Manfred K. Warmuth Efficient Margin Maximizing with Boosting. [Citation Graph (0, 0)][DBLP ] Journal ] Petros Drineas , Michael W. Mahoney On the Nyström Method for Approximating a Gram Matrix for Improved Kernel-Based Learning. [Citation Graph (0, 0)][DBLP ] Journal ] Manfred Opper , Ole Winther Expectation Consistent Approximate Inference. [Citation Graph (0, 0)][DBLP ] Journal ] 