Papers
176,624 papers found
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
GRIFT: A graphical model for inferring visual classification features from human data
Michael Ross, Andrew Cohen
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
Heterogeneous Component Analysis
Shigeyuki Oba, Motoaki Kawanabe, Klaus-Robert Müller et al.
Hidden Common Cause Relations in Relational Learning
Ricardo Silva, Wei Chu, Zoubin Ghahramani
Hierarchical Apprenticeship Learning with Application to Quadruped Locomotion
J. Z. Kolter, Pieter Abbeel, Andrew Y. Ng
Hierarchical Average Reward Reinforcement Learning
Mohammad Ghavamzadeh, Sridhar Mahadevan
Hierarchical Penalization
Marie Szafranski, Yves Grandvalet, Pierre Morizet-mahoudeaux
Hippocampal Contributions to Control: The Third Way
Máté Lengyel, Peter Dayan
HM-BiTAM: Bilingual Topic Exploration, Word Alignment, and Translation
Bing Zhao, Eric P. Xing
How SVMs can estimate quantiles and the median
Andreas Christmann, Ingo Steinwart
"Ideal Parent” Structure Learning for Continuous Variable Bayesian Networks
Gal Elidan, Iftach Nachman, Nir Friedman
Incremental Natural Actor-Critic Algorithms
Shalabh Bhatnagar, Mohammad Ghavamzadeh, Mark Lee et al.
Inferring Elapsed Time from Stochastic Neural Processes
Misha Ahrens, Maneesh Sahani
Inferring Neural Firing Rates from Spike Trains Using Gaussian Processes
John P. Cunningham, Byron M. Yu, Krishna V. Shenoy et al.
Infinitely Imbalanced Logistic Regression
Art B. Owen
Infinite State Bayes-Nets for Structured Domains
Max Welling, Ian Porteous, Evgeniy Bart
Integrating Naïve Bayes and FOIL
Niels Landwehr, Kristian Kersting, Luc De Raedt
Invariant Common Spatial Patterns: Alleviating Nonstationarities in Brain-Computer Interfacing
Benjamin Blankertz, Motoaki Kawanabe, Ryota Tomioka et al.
Iterative Non-linear Dimensionality Reduction with Manifold Sculpting
Michael Gashler, Dan Ventura, Tony Martinez
Kernel Measures of Conditional Dependence
Kenji Fukumizu, Arthur Gretton, Xiaohai Sun et al.
Kernels on Attributed Pointsets with Applications
Mehul Parsana, Sourangshu Bhattacharya, Chiru Bhattacharya et al.