Papers
4,122 papers found
Spam Filtering Using Statistical Data Compression Models
Andrej Bratko, Gordon V. Cormack, Bogdan Filipič et al.
Sparse Boosting
Peter Bühlmann, Bin Yu
Stability Properties of Empirical Risk Minimization over Donsker Classes
Andrea Caponnetto, Alexander Rakhlin
Step Size Adaptation in Reproducing Kernel Hilbert Space
S. V. N. Vishwanathan, Nicol N. Schraudolph, Alex J. Smola
Stochastic Complexities of Gaussian Mixtures in Variational Bayesian Approximation
Kazuho Watanabe, Sumio Watanabe
Streamwise Feature Selection
Jing Zhou, Dean P. Foster, Robert A. Stine et al.
Structured Prediction, Dual Extragradient and Bregman Projections
Ben Taskar, Simon Lacoste-Julien, Michael I. Jordan
Superior Guarantees for Sequential Prediction and Lossless Compression via Alphabet Decomposition
Ron Begleiter, Ran El-Yaniv
The Interplay of Optimization and Machine Learning Research
Kristin P. Bennett, Emilio Parrado-Hernández
Toward Attribute Efficient Learning of Decision Lists and Parities
Adam R. Klivans, Rocco A. Servedio
Universal Kernels
Charles A. Micchelli, Yuesheng Xu, Haizhang Zhang
Using Machine Learning to Guide Architecture Simulation
Greg Hamerly, Erez Perelman, Jeremy Lau et al.
Walk-Sums and Belief Propagation in Gaussian Graphical Models
Dmitry M. Malioutov, Jason K. Johnson, Alan S. Willsky
Worst-Case Analysis of Selective Sampling for Linear Classification
Nicoló Cesa-Bianchi, Claudio Gentile, Luca Zaniboni
A Bayesian Model for Supervised Clustering with the Dirichlet Process Prior
Hal Daumé III, Daniel Marcu
A Classification Framework for Anomaly Detection
Ingo Steinwart, Don Hush, Clint Scovel
Active Coevolutionary Learning of Deterministic Finite Automata
Josh Bongard, Hod Lipson
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