JMLR Volume 9

• Max-margin Classification of Data with Absent Features

  Gal Chechik, Geremy Heitz, Gal Elidan, Pieter Abbeel, Daphne Koller (1):1−21, 2008 PDF BibTeX

• Linear-Time Computation of Similarity Measures for Sequential Data

  Konrad Rieck, Pavel Laskov (2):23−48, 2008 PDF BibTeX

• On the Suitable Domain for SVM Training in Image Coding

  Gustavo Camps-Valls, Juan Gutiérrez, Gabriel Gómez-Pérez, Jesús Malo (3):49−66, 2008 PDF BibTeX

• Discriminative Learning of Max-Sum Classifiers

  Vojtěch Franc, Bogdan Savchynskyy (4):67−104, 2008 PDF BibTeX

• Active Learning by Spherical Subdivision

  Falk-Florian Henrich, Klaus Obermayer (5):105−130, 2008 PDF BibTeX

• Evidence Contrary to the Statistical View of Boosting

  David Mease, Abraham Wyner (6):131−156, 2008 PDF BibTeX

• Optimization Techniques for Semi-Supervised Support Vector Machines

  Olivier Chapelle, Vikas Sindhwani, Sathiya S. Keerthi (7):203−233, 2008 PDF BibTeX

• Near-Optimal Sensor Placements in Gaussian Processes: Theory, Efficient Algorithms and Empirical Studies

  Andreas Krause, Ajit Singh, Carlos Guestrin (8):235−284, 2008 PDF BibTeX

• Support Vector Machinery for Infinite Ensemble Learning

  Hsuan-Tien Lin, Ling Li (9):285−312, 2008 PDF BibTeX

• Algorithms for Sparse Linear Classifiers in the Massive Data Setting

  Suhrid Balakrishnan, David Madigan (10):313−337, 2008 PDF BibTeX

• Generalization from Observed to Unobserved Features by Clustering

  Eyal Krupka, Naftali Tishby (11):339−370, 2008 PDF BibTeX

• A Tutorial on Conformal Prediction

  Glenn Shafer, Vladimir Vovk (12):371−421, 2008 PDF BibTeX

• Theoretical Advantages of Lenient Learners: An Evolutionary Game Theoretic Perspective

  Liviu Panait, Karl Tuyls, Sean Luke (13):423−457, 2008 PDF BibTeX

• A Recursive Method for Structural Learning of Directed Acyclic Graphs

  Xianchao Xie, Zhi Geng (14):459−483, 2008 PDF BibTeX

• Model Selection Through Sparse Maximum Likelihood Estimation for Multivariate Gaussian or Binary Data

  Onureena Banerjee, Laurent El Ghaoui, Alexandre d'Aspremont (15):485−516, 2008 PDF BibTeX

• Comments on the Complete Characterization of a Family of Solutions to a Generalized Fisher Criterion

  Jieping Ye (16):517−519, 2008 PDF BibTeX

• Estimating the Confidence Interval for Prediction Errors of Support Vector Machine Classifiers

  Bo Jiang, Xuegong Zhang, Tianxi Cai (17):521−540, 2008 PDF BibTeX

• An Information Criterion for Variable Selection in Support Vector Machines

  Gerda Claeskens, Christophe Croux, Johan Van Kerckhoven (18):541−558, 2008 PDF BibTeX

• Closed Sets for Labeled Data

  Gemma C. Garriga, Petra Kralj, Nada Lavrač (19):559−580, 2008 PDF BibTeX

• Learning Reliable Classifiers From Small or Incomplete Data Sets: The Naive Credal Classifier 2

  Giorgio Corani, Marco Zaffalon (20):581−621, 2008 PDF BibTeX

• A Library for Locally Weighted Projection Regression

  Stefan Klanke, Sethu Vijayakumar, Stefan Schaal (21):623−626, 2008 codePDF BibTeX

• Trust Region Newton Method for Logistic Regression

  Chih-Jen Lin, Ruby C. Weng, S. Sathiya Keerthi (22):627−650, 2008 PDF BibTeX

• Graphical Models for Structured Classification, with an Application to Interpreting Images of Protein Subcellular Location Patterns

  Shann-Ching Chen, Geoffrey J. Gordon, Robert F. Murphy (23):651−682, 2008 PDF BibTeX

• Learning Control Knowledge for Forward Search Planning

  Sungwook Yoon, Alan Fern, Robert Givan (24):683−718, 2008 PDF BibTeX

• Multi-class Discriminant Kernel Learning via Convex Programming

  Jieping Ye, Shuiwang Ji, Jianhui Chen (25):719−758, 2008 PDF BibTeX

• Bayesian Inference and Optimal Design for the Sparse Linear Model

  Matthias W. Seeger (26):759−813, 2008 PDF BibTeX

• Finite-Time Bounds for Fitted Value Iteration

  Rémi Munos, Csaba Szepesvári (27):815−857, 2008 PDF BibTeX

• An Error Bound Based on a Worst Likely Assignment

  Eric Bax, Augusto Callejas (28):859−891, 2008 PDF BibTeX

• Graphical Methods for Efficient Likelihood Inference in Gaussian Covariance Models

  Mathias Drton, Thomas S. Richardson (29):893−914, 2008 PDF BibTeX

• Bouligand Derivatives and Robustness of Support Vector Machines for Regression

  Andreas Christmann, Arnout Van Messem (30):915−936, 2008 PDF BibTeX

• Accelerated Neural Evolution through Cooperatively Coevolved Synapses

  Faustino Gomez, Jürgen Schmidhuber, Risto Miikkulainen (31):937−965, 2008 PDF BibTeX

• Search for Additive Nonlinear Time Series Causal Models

  Tianjiao Chu, Clark Glymour (32):967−991, 2008 PDF BibTeX

• Shark

  Christian Igel, Verena Heidrich-Meisner, Tobias Glasmachers (33):993−996, 2008 codePDF BibTeX

• Hit Miss Networks with Applications to Instance Selection

  Elena Marchiori (34):997−1017, 2008 PDF BibTeX

• Consistency of Trace Norm Minimization

  Francis R. Bach (35):1019−1048, 2008 PDF BibTeX

• Learning Similarity with Operator-valued Large-margin Classifiers

  Andreas Maurer (36):1049−1082, 2008 PDF BibTeX

• Ranking Categorical Features Using Generalization Properties

  Sivan Sabato, Shai Shalev-Shwartz (37):1083−1114, 2008 PDF BibTeX

• A Multiple Instance Learning Strategy for Combating Good Word Attacks on Spam Filters

  Zach Jorgensen, Yan Zhou, Meador Inge (38):1115−1146, 2008 PDF BibTeX

• Cross-Validation Optimization for Large Scale Structured Classification Kernel Methods

  Matthias W. Seeger (39):1147−1178, 2008 PDF BibTeX

• Consistency of the Group Lasso and Multiple Kernel Learning

  Francis R. Bach (40):1179−1225, 2008 PDF BibTeX

• Maximal Causes for Non-linear Component Extraction

  Jörg Lücke, Maneesh Sahani (41):1227−1267, 2008 PDF BibTeX

• Optimal Solutions for Sparse Principal Component Analysis

  Alexandre d'Aspremont, Francis Bach, Laurent El Ghaoui (42):1269−1294, 2008 PDF BibTeX

• Using Markov Blankets for Causal Structure Learning

  Jean-Philippe Pellet, André Elisseeff (43):1295−1342, 2008 PDF BibTeX

• A Bahadur Representation of the Linear Support Vector Machine

  Ja-Yong Koo, Yoonkyung Lee, Yuwon Kim, Changyi Park (44):1343−1368, 2008 PDF BibTeX

• Coordinate Descent Method for Large-scale L2-loss Linear Support Vector Machines

  Kai-Wei Chang, Cho-Jui Hsieh, Chih-Jen Lin (45):1369−1398, 2008 PDF BibTeX

• Online Learning of Complex Prediction Problems Using Simultaneous Projections

  Yonatan Amit, Shai Shalev-Shwartz, Yoram Singer (46):1399−1435, 2008 PDF BibTeX

• Causal Reasoning with Ancestral Graphs

  Jiji Zhang (47):1437−1474, 2008 PDF BibTeX

• Incremental Identification of Qualitative Models of Biological Systems using Inductive Logic Programming

  Ashwin Srinivasan, Ross D. King (48):1475−1533, 2008 PDF BibTeX

• Learning to Combine Motor Primitives Via Greedy Additive Regression

  Manu Chhabra, Robert A. Jacobs (49):1535−1558, 2008 PDF BibTeX

• Aggregation of SVM Classifiers Using Sobolev Spaces

  Sébastien Loustau (50):1559−1582, 2008 PDF BibTeX

• Dynamic Hierarchical Markov Random Fields for Integrated Web Data Extraction

  Jun Zhu, Zaiqing Nie, Bo Zhang, Ji-Rong Wen (51):1583−1614, 2008 PDF BibTeX

• Universal Multi-Task Kernels

  Andrea Caponnetto, Charles A. Micchelli, Massimiliano Pontil, Yiming Ying (52):1615−1646, 2008 PDF BibTeX

• A New Algorithm for Estimating the Effective Dimension-Reduction Subspace

  Arnak S. Dalalyan, Anatoly Juditsky, Vladimir Spokoiny (53):1647−1678, 2008 PDF BibTeX

• Value Function Based Reinforcement Learning in Changing Markovian Environments

  Balázs Csanád Csáji, László Monostori (54):1679−1709, 2008 PDF BibTeX

• Regularization on Graphs with Function-adapted Diffusion Processes

  Arthur D. Szlam, Mauro Maggioni, Ronald R. Coifman (55):1711−1739, 2008 PDF BibTeX

• Nearly Uniform Validation Improves Compression-Based Error Bounds

  Eric Bax (56):1741−1755, 2008 PDF BibTeX

• Learning from Multiple Sources

  Koby Crammer, Michael Kearns, Jennifer Wortman (57):1757−1774, 2008 PDF BibTeX

• Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks

  Michael Collins, Amir Globerson, Terry Koo, Xavier Carreras, Peter L. Bartlett (58):1775−1822, 2008 PDF BibTeX

• Classification with a Reject Option using a Hinge Loss

  Peter L. Bartlett, Marten H. Wegkamp (59):1823−1840, 2008 PDF BibTeX

• Learning Balls of Strings from Edit Corrections

  Leonor Becerra-Bonache, Colin de la Higuera, Jean-Christophe Janodet, Frédéric Tantini (60):1841−1870, 2008 PDF BibTeX

• LIBLINEAR: A Library for Large Linear Classification

  Rong-En Fan, Kai-Wei Chang, Cho-Jui Hsieh, Xiang-Rui Wang, Chih-Jen Lin (61):1871−1874, 2008 codePDF BibTeX

• On Relevant Dimensions in Kernel Feature Spaces

  Mikio L. Braun, Joachim M. Buhmann, Klaus-Robert Müller (62):1875−1908, 2008 PDF BibTeX

• Manifold Learning: The Price of Normalization

  Yair Goldberg, Alon Zakai, Dan Kushnir, Ya'acov Ritov (63):1909−1939, 2008 PDF BibTeX

• Complete Identification Methods for the Causal Hierarchy

  Ilya Shpitser, Judea Pearl (64):1941−1979, 2008 PDF BibTeX

• Mixed Membership Stochastic Blockmodels

  Edoardo M. Airoldi, David M. Blei, Stephen E. Fienberg, Eric P. Xing (65):1981−2014, 2008 PDF BibTeX

• Consistency of Random Forests and Other Averaging Classifiers

  Gérard Biau, Luc Devroye, Gábor Lugosi (66):2015−2033, 2008 PDF BibTeX

• Approximations for Binary Gaussian Process Classification

  Hannes Nickisch, Carl Edward Rasmussen (67):2035−2078, 2008 PDF BibTeX

• Value Function Approximation using Multiple Aggregation for Multiattribute Resource Management

  Abraham George, Warren B. Powell, Sanjeev R. Kulkarni (68):2079−2111, 2008 PDF BibTeX

• Gradient Tree Boosting for Training Conditional Random Fields

  Thomas G. Dietterich, Guohua Hao, Adam Ashenfelter (69):2113−2139, 2008 PDF BibTeX

• HPB: A Model for Handling BN Nodes with High Cardinality Parents

  Jorge Jambeiro Filho, Jacques Wainer (70):2141−2170, 2008 PDF BibTeX

• A Moment Bound for Multi-hinge Classifiers

  Bernadetta Tarigan, Sara A. van de Geer (71):2171−2185, 2008 PDF BibTeX

• Ranking Individuals by Group Comparisons

  Tzu-Kuo Huang, Chih-Jen Lin, Ruby C. Weng (72):2187−2216, 2008 PDF BibTeX

• Forecasting Web Page Views: Methods and Observations

  Jia Li, Andrew W. Moore (73):2217−2250, 2008 PDF BibTeX

• Finding Optimal Bayesian Network Given a Super-Structure

  Eric Perrier, Seiya Imoto, Satoru Miyano (74):2251−2286, 2008 PDF BibTeX

• Randomized Online PCA Algorithms with Regret Bounds that are Logarithmic in the Dimension

  Manfred K. Warmuth, Dima Kuzmin (75):2287−2320, 2008 PDF BibTeX

• Probabilistic Characterization of Random Decision Trees

  Amit Dhurandhar, Alin Dobra (76):2321−2348, 2008 PDF BibTeX

• Learning to Select Features using their Properties

  Eyal Krupka, Amir Navot, Naftali Tishby (77):2349−2376, 2008 PDF BibTeX

• Model Selection in Kernel Based Regression using the Influence Function

  Michiel Debruyne, Mia Hubert, Johan A.K. Suykens (78):2377−2400, 2008 PDF BibTeX

• Non-Parametric Modeling of Partially Ranked Data

  Guy Lebanon, Yi Mao (79):2401−2429, 2008 PDF BibTeX

• On the Size and Recovery of Submatrices of Ones in a Random Binary Matrix

  Xing Sun, Andrew B. Nobel (80):2431−2453, 2008 PDF BibTeX

• Minimal Nonlinear Distortion Principle for Nonlinear Independent Component Analysis

  Kun Zhang, Laiwan Chan (81):2455−2487, 2008 PDF BibTeX

• On the Equivalence of Linear Dimensionality-Reducing Transformations

  Marco Loog (82):2489−2490, 2008 PDF BibTeX

• SimpleMKL

  Alain Rakotomamonjy, Francis R. Bach, Stéphane Canu, Yves Grandvalet (83):2491−2521, 2008 PDF BibTeX

• Active Learning of Causal Networks with Intervention Experiments and Optimal Designs

  Yang-Bo He, Zhi Geng (84):2523−2547, 2008 PDF BibTeX

• Stationary Features and Cat Detection

  François Fleuret, Donald Geman (85):2549−2578, 2008 PDF BibTeX

• Visualizing Data using t-SNE

  Laurens van der Maaten, Geoffrey Hinton (86):2579−2605, 2008 PDF BibTeX

• Model Selection for Regression with Continuous Kernel Functions Using the Modulus of Continuity

  Imhoi Koo, Rhee Man Kil (87):2607−2633, 2008 PDF BibTeX

• Multi-Agent Reinforcement Learning in Common Interest and Fixed Sum Stochastic Games: An Experimental Study

  Avraham Bab, Ronen I. Brafman (88):2635−2675, 2008 PDF BibTeX

• An Extension on “Statistical Comparisons of Classifiers over Multiple Data Sets” for all Pairwise Comparisons

  Salvador García, Francisco Herrera (89):2677−2694, 2008 PDF BibTeX

• JNCC2: The Java Implementation Of Naive Credal Classifier 2

  Giorgio Corani, Marco Zaffalon (90):2695−2698, 2008 codePDF BibTeX

• Learning Bounded Treewidth Bayesian Networks

  Gal Elidan, Stephen Gould (91):2699−2731, 2008 PDF BibTeX

• Automatic PCA Dimension Selection for High Dimensional Data and Small Sample Sizes

  David C. Hoyle (92):2733−2759, 2008 PDF BibTeX

• Robust Submodular Observation Selection

  Andreas Krause, H. Brendan McMahan, Carlos Guestrin, Anupam Gupta (93):2761−2801, 2008 PDF BibTeX

• Magic Moments for Structured Output Prediction

  Elisa Ricci, Tijl De Bie, Nello Cristianini (94):2803−2846, 2008 PDF BibTeX

• Structural Learning of Chain Graphs via Decomposition

  Zongming Ma, Xianchao Xie, Zhi Geng (95):2847−2880, 2008 PDF BibTeX