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COLT
2001
Springer
15 years 8 months ago
Ultraconservative Online Algorithms for Multiclass Problems
In this paper we study a paradigm to generalize online classification algorithms for binary classification problems to multiclass problems. The particular hypotheses we investig...
Koby Crammer, Yoram Singer
153
Voted
AAAI
2012
13 years 6 months ago
Online Kernel Selection: Algorithms and Evaluations
Kernel methods have been successfully applied to many machine learning problems. Nevertheless, since the performance of kernel methods depends heavily on the type of kernels being...
Tianbao Yang, Mehrdad Mahdavi, Rong Jin, Jinfeng Y...
TIT
2008
76views more  TIT 2008»
15 years 3 months ago
Improved Risk Tail Bounds for On-Line Algorithms
We prove the strongest known bound for the risk of hypotheses selected from the ensemble generated by running a learning algorithm incrementally on the training data. Our result i...
Nicolò Cesa-Bianchi, Claudio Gentile
129
Voted
PADL
2000
Springer
15 years 7 months ago
Parallel Functional Reactive Programming
In this paper, we demonstrate how Functional Reactive Programming (FRP), a framework for the description of interactive systems, can be extended to encompass parallel systems. FRP ...
John Peterson, Valery Trifonov, Andrei Serjantov
103
Voted
GEM
2008
15 years 5 months ago
Evaluating a Parallel Evolutionary Algorithm on the Chess Endgame Problem
Classifying the endgame positions in Chess can be challenging for humans and is known to be a difficult task in machine learning. An evolutionary algorithm would seem to be the ide...
Wayne Iba, Kelsey Marshman, Benjamin Fisk