JMLR Volume 8
- Nonlinear Boosting Projections for Ensemble Construction
- Nicolás García-Pedrajas, César García-Osorio, Colin Fyfe; 8(Jan):1--33, 2007.
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- Multi-Task Learning for Classification with Dirichlet Process Priors
- Ya Xue, Xuejun Liao, Lawrence Carin, Balaji Krishnapuram; 8(Jan):35--63, 2007.
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- A Unified Continuous Optimization Framework for Center-Based Clustering Methods
- Marc Teboulle; 8(Jan):65--102, 2007.
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- Minimax Regret Classifier for Imprecise Class Distributions
- Rocío Alaiz-Rodríguez, Alicia Guerrero-Curieses, Jesús Cid-Sueiro; 8(Jan):103--130, 2007.
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- Distances between Data Sets Based on Summary Statistics
- Nikolaj Tatti; 8(Jan):131--154, 2007.
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- Building Blocks for Variational Bayesian Learning of Latent Variable Models
- Tapani Raiko, Harri Valpola, Markus Harva, Juha Karhunen; 8(Jan):155--201, 2007.
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- A Probabilistic Analysis of EM for Mixtures of Separated, Spherical Gaussians
- Sanjoy Dasgupta, Leonard Schulman; 8(Feb):203--226, 2007.
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- Noise Tolerant Variants of the Perceptron Algorithm
- Roni Khardon, Gabriel Wachman; 8(Feb):227--248, 2007.
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- Learnability of Gaussians with Flexible Variances
- Yiming Ying, Ding-Xuan Zhou; 8(Feb):249--276, 2007.
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- Separating Models of Learning from Correlated and Uncorrelated Data (Special Topic on the Conference on Learning Theory 2005)
- Ariel Elbaz, Homin K. Lee, Rocco A. Servedio, Andrew Wan; 8(Feb):277--290, 2007.
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- Comments on the "Core Vector Machines: Fast SVM Training on Very Large Data Sets"
- Gaëlle Loosli, Stéphane Canu; 8(Feb):291--301, 2007.
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- General Polynomial Time Decomposition Algorithms (Special Topic on the Conference on Learning Theory 2005)
- Nikolas List, Hans Ulrich Simon; 8(Feb):303--321, 2007.
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- Dynamics and Generalization Ability of LVQ Algorithms
- Michael Biehl, Anarta Ghosh, Barbara Hammer; 8(Feb):323--360, 2007.
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- Statistical Consistency of Kernel Canonical Correlation Analysis
- Kenji Fukumizu, Francis R. Bach, Arthur Gretton; 8(Feb):361--383, 2007.
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- Learning Equivariant Functions with Matrix Valued Kernels
- Marco Reisert, Hans Burkhardt; 8(Mar):385--408, 2007.
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- Boosted Classification Trees and Class Probability/Quantile Estimation
- David Mease, Abraham J. Wyner, Andreas Buja; 8(Mar):409--439, 2007.
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- Value Regularization and Fenchel Duality
- Ryan M. Rifkin, Ross A. Lippert; 8(Mar):441--479, 2007.
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- Integrating Naïve Bayes and FOIL
- Niels Landwehr, Kristian Kersting, Luc De Raedt; 8(Mar):481--507, 2007.
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- A Stochastic Algorithm for Feature Selection in Pattern Recognition
- Sébastien Gadat, Laurent Younes; 8(Mar):509--547, 2007.
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- Learning Horn Expressions with LOGAN-H
- Marta Arias, Roni Khardon, Jérôme Maloberti; 8(Mar):549--587, 2007.
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- Consistent Feature Selection for Pattern Recognition in Polynomial Time
- Roland Nilsson, José M. Peña, Johan Björkegren, Jesper Tegnér; 8(Mar):589--612, 2007.
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- Estimating High-Dimensional Directed Acyclic Graphs with the PC-Algorithm
- Markus Kalisch, Peter Bühlmann; 8(Mar):613--636, 2007.
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- Margin Trees for High-dimensional Classification
- Robert Tibshirani, Trevor Hastie; 8(Mar):637--652, 2007.
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- Relational Dependency Networks
- Jennifer Neville, David Jensen; 8(Mar):653--692, 2007.
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- Dynamic Conditional Random Fields: Factorized Probabilistic Models for Labeling and Segmenting Sequence Data
- Charles Sutton, Andrew McCallum, Khashayar Rohanimanesh; 8(Mar):693--723, 2007.
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- The Pyramid Match Kernel: Efficient Learning with Sets of Features
- Kristen Grauman, Trevor Darrell; 8(Apr):725--760, 2007.
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- Infinitely Imbalanced Logistic Regression
- Art B. Owen; 8(Apr):761--773, 2007.
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- Sparseness vs Estimating Conditional Probabilities: Some Asymptotic Results
- Peter L. Bartlett, Ambuj Tewari; 8(Apr):775--790, 2007.
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- Concave Learners for Rankboost
- Ofer Melnik, Yehuda Vardi, Cun-Hui Zhang; 8(Apr):791--812, 2007.
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- Gini Support Vector Machine: Quadratic Entropy Based Robust Multi-Class Probability Regression
- Shantanu Chakrabartty, Gert Cauwenberghs; 8(Apr):813--839, 2007.
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- Preventing Over-Fitting during Model Selection via Bayesian Regularisation of the Hyper-Parameters (Special Topic on Model Selection)
- Gavin C. Cawley, Nicola L. C. Talbot; 8(Apr):841--861, 2007.
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- Combining PAC-Bayesian and Generic Chaining Bounds
- Jean-Yves Audibert, Olivier Bousquet; 8(Apr):863--889, 2007.
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- Anytime Learning of Decision Trees
- Saher Esmeir, Shaul Markovitch; 8(May):891--933, 2007.
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- Classification in Networked Data: A Toolkit and a Univariate Case Study
- Sofus A. Macskassy, Foster Provost; 8(May):935--983, 2007.
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- Covariate Shift Adaptation by Importance Weighted Cross Validation
- Masashi Sugiyama, Matthias Krauledat, Klaus-Robert Müller; 8(May):985--1005, 2007.
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- On the Consistency of Multiclass Classification Methods (Special Topic on the Conference on Learning Theory 2005)
- Ambuj Tewari, Peter L. Bartlett; 8(May):1007--1025, 2007.
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- Dimensionality Reduction of Multimodal Labeled Data by Local Fisher Discriminant Analysis
- Masashi Sugiyama; 8(May):1027--1061, 2007.
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- Undercomplete Blind Subspace Deconvolution
- Zoltán Szabó, Barnabás Póczos, András Lőrincz; 8(May):1063--1095, 2007.
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- Bilinear Discriminant Component Analysis
- Mads Dyrholm, Christoforos Christoforou, Lucas C. Parra; 8(May):1097--1111, 2007.
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- Loop Corrections for Approximate Inference on Factor Graphs
- Joris M. Mooij, Hilbert J. Kappen; 8(May):1113--1143, 2007.
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- Penalized Model-Based Clustering with Application to Variable Selection
- Wei Pan, Xiaotong Shen; 8(May):1145--1164, 2007.
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- Local Discriminant Wavelet Packet Coordinates for Face Recognition
- Chao-Chun Liu, Dao-Qing Dai, Hong Yan; 8(May):1165--1195, 2007.
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- Synergistic Face Detection and Pose Estimation with Energy-Based Models
- Margarita Osadchy, Yann Le Cun, Matthew L. Miller; 8(May):1197--1215, 2007.
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- Maximum Entropy Density Estimation with Generalized Regularization and an Application to Species Distribution Modeling
- Miroslav Dudík, Steven J. Phillips, Robert E. Schapire; 8(Jun):1217--1260, 2007.
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- Measuring Differentiability: Unmasking Pseudonymous Authors
- Moshe Koppel, Jonathan Schler, Elisheva Bonchek-Dokow; 8(Jun):1261--1276, 2007.
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- Bayesian Quadratic Discriminant Analysis
- Santosh Srivastava, Maya R. Gupta, Béla A. Frigyik; 8(Jun):1277--1305, 2007.
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- From External to Internal Regret (Special Topic on the Conference on Learning Theory 2005)
- Avrim Blum, Yishay Mansour; 8(Jun):1307--1324, 2007.
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- Graph Laplacians and their Convergence on Random Neighborhood Graphs (Special Topic on the Conference on Learning Theory 2005)
- Matthias Hein, Jean-Yves Audibert, Ulrike von Luxburg; 8(Jun):1325--1368, 2007.
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- Generalization Error Bounds in Semi-supervised Classification Under the Cluster Assumption
- Philippe Rigollet; 8(Jul):1369--1392, 2007.
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- Learning to Classify Ordinal Data: The Data Replication Method
- Jaime S. Cardoso, Joaquim F. Pinto da Costa; 8(Jul):1393--1429, 2007.
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- Attribute-Efficient and Non-adaptive Learning of Parities and DNF Expressions (Special Topic on the Conference on Learning Theory 2005)
- Vitaly Feldman; 8(Jul):1431--1460, 2007.
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- PAC-Bayes Risk Bounds for Stochastic Averages and Majority Votes of Sample-Compressed Classifiers
- François Laviolette, Mario Marchand; 8(Jul):1461--1487, 2007.
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- On the Effectiveness of Laplacian Normalization for Graph Semi-supervised Learning
- Rie Johnson, Tong Zhang; 8(Jul):1489--1517, 2007.
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- An Interior-Point Method for Large-Scale l1-Regularized Logistic Regression
- Kwangmoo Koh, Seung-Jean Kim, Stephen Boyd; 8(Jul):1519--1555, 2007.
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- Multi-class Protein Classification Using Adaptive Codes
- Iain Melvin, Eugene Ie, Jason Weston, William Stafford Noble, Christina Leslie; 8(Jul):1557--1581, 2007.
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- Spherical-Homoscedastic Distributions: The Equivalency of Spherical and Normal Distributions in Classification
- Onur C. Hamsici, Aleix M. Martinez; 8(Jul):1583--1623, 2007.
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- Handling Missing Values when Applying Classification Models
- Maytal Saar-Tsechansky, Foster Provost; 8(Jul):1623--1657, 2007.
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- Compression-Based Averaging of Selective Naive Bayes Classifiers (Special Topic on Model Selection)
- Marc Boullé; 8(Jul):1659--1685, 2007.
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- A Nonparametric Statistical Approach to Clustering via Mode Identification
- Jia Li, Surajit Ray, Bruce G. Lindsay; 8(Aug):1687--1723, 2007.
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- Polynomial Identification in the Limit of Substitutable Context-free Languages
- Alexander Clark, Rémi Eyraud; 8(Aug):1725--1745, 2007.
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- Structure and Majority Classes in Decision Tree Learning
- Ray J. Hickey; 8(Aug):1747--1768, 2007.
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- Characterizing the Function Space for Bayesian Kernel Models
- Natesh S. Pillai, Qiang Wu, Feng Liang, Sayan Mukherjee, Robert L. Wolpert; 8(Aug):1769--1797, 2007.
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- "Ideal Parent" Structure Learning for Continuous Variable Bayesian Networks
- Gal Elidan, Iftach Nachman, Nir Friedman; 8(Aug):1799--1833, 2007.
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- Behavioral Shaping for Geometric Concepts
- Manu Chhabra, Robert A. Jacobs, Daniel Štefankovič; 8(Aug):1835--1865, 2007.
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- Large Margin Semi-supervised Learning
- Junhui Wang, Xiaotong Shen; 8(Aug):1867--1891, 2007.
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- Fast Iterative Kernel Principal Component Analysis
- Simon Günter, Nicol N. Schraudolph, S. V. N. Vishwanathan; 8(Aug):1893--1918, 2007.
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- A Generalized Maximum Entropy Approach to Bregman Co-clustering and Matrix Approximation
- Arindam Banerjee, Inderjit Dhillon, Joydeep Ghosh, Srujana Merugu, Dharmendra S. Modha; 8(Aug):1919--1986, 2007.
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- Truncating the Loop Series Expansion for Belief Propagation
- Vicenç Gómez, Joris M. Mooij, Hilbert J. Kappen; 8(Sep):1987--2016, 2007.
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- Very Fast Online Learning of Highly Non Linear Problems
- Aggelos Chariatis; 8(Sep):2017--2045, 2007.
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- Unlabeled Compression Schemes for Maximum Classes
- Dima Kuzmin, Manfred K. Warmuth; 8(Sep):2047--2081, 2007.
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- Refinable Kernels
- Yuesheng Xu, Haizhang Zhang; 8(Sep):2083--2120, 2007.
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- A Complete Characterization of a Family of Solutions to a Generalized Fisher Criterion
- Marco Loog; 8(Sep):2121--2123, 2007.
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- Transfer Learning via Inter-Task Mappings for Temporal Difference Learning
- Matthew E. Taylor, Peter Stone, Yaxin Liu; 8(Sep):2125--2167, 2007.
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- Proto-value Functions: A Laplacian Framework for Learning Representation and Control in Markov Decision Processes
- Sridhar Mahadevan, Mauro Maggioni; 8(Oct):2169--2231, 2007.
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- Online Learning of Multiple Tasks with a Shared Loss
- Ofer Dekel, Philip M. Long, Yoram Singer; 8(Oct):2233--2264, 2007.
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- Euclidean Embedding of Co-occurrence Data
- Amir Globerson, Gal Chechik, Fernando Pereira, Naftali Tishby; 8(Oct):2265--2295, 2007.
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- Harnessing the Expertise of 70,000 Human Editors: Knowledge-Based Feature Generation for Text Categorization
- Evgeniy Gabrilovich, Shaul Markovitch; 8(Oct):2297--2345, 2007.
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- AdaBoost is Consistent
- Peter L. Bartlett, Mikhail Traskin; 8(Oct):2347--2368, 2007.
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- The On-Line Shortest Path Problem Under Partial Monitoring
- András György, Tamás Linder, Gábor Lugosi, György Ottucsák; 8(Oct):2369--2403, 2007.
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- The Locally Weighted Bag of Words Framework for Document Representation
- Guy Lebanon, Yi Mao, Joshua Dillon; 8(Oct):2405--2441, 2007.
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- The Need for Open Source Software in Machine Learning
- Sören Sonnenburg, Mikio L. Braun, Cheng Soon Ong, Samy Bengio, Leon Bottou, Geoffrey Holmes, Yann LeCun, Klaus-Robert Müller, Fernando Pereira, Carl Edward Rasmussen, Gunnar Rätsch, Bernhard Schölkopf, Alexander Smola, Pascal Vincent, Jason Weston, Robert Williamson; 8(Oct):2443--2466, 2007.
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- On the Representer Theorem and Equivalent Degrees of Freedom of SVR
- Francesco Dinuzzo, Marta Neve, Giuseppe De Nicolao, Ugo Pietro Gianazza; 8(Oct):2467--2495, 2007.
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- Nonlinear Estimators and Tail Bounds for Dimension Reduction in l1 Using Cauchy Random Projections
- Ping Li, Trevor J. Hastie, Kenneth W. Church; 8(Oct):2497--2532, 2007.
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- Revised Loss Bounds for the Set Covering Machine and Sample-Compression Loss Bounds for Imbalanced Data
- Zakria Hussain, François Laviolette, Mario Marchand, John Shawe-Taylor, Spencer Charles Brubaker, Matthew D. Mullin; 8(Nov):2533--2549, 2007.
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- VC Theory of Large Margin Multi-Category Classifiers (Special Topic on Model Selection)
- Yann Guermeur; 8(Nov):2551--2594, 2007.
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- Learning in Environments with Unknown Dynamics: Towards more Robust Concept Learners
- Marlon Núñez, Raúl Fidalgo, Rafael Morales; 8(Nov):2595--2628, 2007.
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- Hierarchical Average Reward Reinforcement Learning
- Mohammad Ghavamzadeh, Sridhar Mahadevan; 8(Nov):2629--2669, 2007.
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- Ranking the Best Instances
- Stéphan Clémençon, Nicolas Vayatis; 8(Dec):2671--2699, 2007.
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- Stagewise Lasso
- Peng Zhao, Bin Yu; 8(Dec):2701--2726, 2007.
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- A New Probabilistic Approach in Rank Regression with Optimal Bayesian Partitioning (Special Topic on Model Selection)
- Carine Hue, Marc Boullé; 8(Dec):2727--2754, 2007.
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- Dynamic Weighted Majority: An Ensemble Method for Drifting Concepts
- J. Zico Kolter, Marcus A. Maloof; 8(Dec):2755--2790, 2007.
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