Papers
173,579 papers found
Active Coevolutionary Learning of Deterministic Finite Automata
Josh Bongard, Hod Lipson
Active Learning For Outdoor Obstacle Detection
Cristian Dima, Martial Hebert
Active Learning to Recognize Multiple Types of Plankton
Tong Luo, Kurt Kramer, Dmitry B. Goldgof et al.
Adaptive Online Prediction by Following the Perturbed Leader
Marcus Hutter, Jan Poland
A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data
Rie Kubota Ando, Tong Zhang
A Generalization Error for Q-Learning
Susan A. Murphy
Algorithmic Stability and Meta-Learning
Andreas Maurer
A Modified Finite Newton Method for Fast Solution of Large Scale Linear SVMs
S. Sathiya Keerthi, Dennis DeCoste
Analysis of Variance of Cross-Validation Estimators of the Generalization Error
Marianthi Markatou, Hong Tian, Shameek Biswas et al.
An MDP-Based Recommender System
Guy Shani, David Heckerman, Ronen I. Brafman
Assessing Approximate Inference for Binary Gaussian Process Classification
Malte Kuss, Carl Edward Rasmussen
Asymptotic Model Selection for Naive Bayesian Networks
Dmitry Rusakov, Dan Geiger
Asymptotics in Empirical Risk Minimization
Leila Mohammadi, Sara van de Geer
Auction-Based Multi-Robot Routing
Michail G. Lagoudakis, Evangelos Markakis, David Kempe et al.
A Unifying View of Sparse Approximate Gaussian Process Regression
Joaquin Quiñonero-Candela, Carl Edward Rasmussen
Biologically Inspired Miniature Water Strider Robot
Steve H. Suhr, Yun Seong Song, Sang Jun Lee et al.
Blind Swarms for Coverage in 2-D
Vin de Silva, Robert Ghrist, Abubakr Muhammad
Change Point Problems in Linear Dynamical Systems
Onno Zoeter, Tom Heskes
Clustering with Bregman Divergences
Arindam Banerjee, Srujana Merugu, Inderjit S. Dhillon et al.
Combining Information Extraction Systems Using Voting and Stacked Generalization
Georgios Sigletos, Georgios Paliouras, Constantine D. Spyropoulos et al.
Concentration Bounds for Unigram Language Models
Evgeny Drukh, Yishay Mansour
Convergence Theorems for Generalized Alternating Minimization Procedures
Asela Gunawardana, William Byrne
Core Vector Machines: Fast SVM Training on Very Large Data Sets
Ivor W. Tsang, James T. Kwok, Pak-Ming Cheung
Data Structure for Efficient Processing in 3-D
Jean-François Lalonde, Nicolas Vandapel, Martial Hebert
Demonstrating an Interactive Semantic Role Labeling System
Vasin Punyakanok, Dan Roth, Mark Sammons et al.