Papers
4,122 papers found
Dynamic Conditional Random Fields: Factorized Probabilistic Models for Labeling and Segmenting Sequence Data
Charles Sutton, Andrew McCallum, Khashayar Rohanimanesh
Dynamics and Generalization Ability of LVQ Algorithms
Michael Biehl, Anarta Ghosh, Barbara Hammer
Dynamic Weighted Majority: An Ensemble Method for Drifting Concepts
J. Zico Kolter, Marcus A. Maloof
Estimating High-Dimensional Directed Acyclic Graphs with the PC-Algorithm
Markus Kalisch, Peter Bühlmann
Euclidean Embedding of Co-occurrence Data
Amir Globerson, Gal Chechik, Fernando Pereira et al.
Fast Iterative Kernel Principal Component Analysis
Simon Günter, Nicol N. Schraudolph, S. V. N. Vishwanathan
From External to Internal Regret
Avrim Blum, Yishay Mansour
General Polynomial Time Decomposition Algorithms
Nikolas List, Hans Ulrich Simon
Gini Support Vector Machine: Quadratic Entropy Based Robust Multi-Class Probability Regression
Shantanu Chakrabartty, Gert Cauwenberghs
Graph Laplacians and their Convergence on Random Neighborhood Graphs
Matthias Hein, Jean-Yves Audibert, Ulrike von Luxburg
Handling Missing Values when Applying Classification Models
Maytal Saar-Tsechansky, Foster Provost
Harnessing the Expertise of 70,000 Human Editors: Knowledge-Based Feature Generation for Text Categorization
Evgeniy Gabrilovich, Shaul Markovitch
Hierarchical Average Reward Reinforcement Learning
Mohammad Ghavamzadeh, Sridhar Mahadevan
"Ideal Parent” Structure Learning for Continuous Variable Bayesian Networks
Gal Elidan, Iftach Nachman, Nir Friedman
Infinitely Imbalanced Logistic Regression
Art B. Owen
Integrating Naïve Bayes and FOIL
Niels Landwehr, Kristian Kersting, Luc De Raedt
Large Margin Semi-supervised Learning
Junhui Wang, Xiaotong Shen
Learnability of Gaussians with Flexible Variances
Yiming Ying, Ding-Xuan Zhou
Learning Equivariant Functions with Matrix Valued Kernels
Marco Reisert, Hans Burkhardt
Learning Horn Expressions with LOGAN-H
Marta Arias, Roni Khardon, Jérôme Maloberti
Learning in Environments with Unknown Dynamics: Towards more Robust Concept Learners
Marlon Núñez, Raúl Fidalgo, Rafael Morales
Learning to Classify Ordinal Data: The Data Replication Method
Jaime S. Cardoso, Joaquim F. Pinto da Costa
Local Discriminant Wavelet Packet Coordinates for Face Recognition
Chao-Chun Liu, Dao-Qing Dai, Hong Yan
Loop Corrections for Approximate Inference on Factor Graphs
Joris M. Mooij, Hilbert J. Kappen