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ICML
2007
IEEE
16 years 5 months ago
Learning a meta-level prior for feature relevance from multiple related tasks
In many prediction tasks, selecting relevant features is essential for achieving good generalization performance. Most feature selection algorithms consider all features to be a p...
Su-In Lee, Vassil Chatalbashev, David Vickrey, Dap...
CADE
2001
Springer
16 years 5 months ago
Context Trees
Context trees are a popular and effective tool for tasks such as compression, sequential prediction, and language modeling. We present an algebraic perspective of context trees for...
Harald Ganzinger, Robert Nieuwenhuis, Pilar Nivela
STOC
1997
ACM
97views Algorithms» more  STOC 1997»
15 years 9 months ago
Using and Combining Predictors That Specialize
Abstract. We study online learning algorithms that predict by combining the predictions of several subordinate prediction algorithms, sometimes called “experts.” These simple a...
Yoav Freund, Robert E. Schapire, Yoram Singer, Man...
IJCAI
2007
15 years 6 months ago
Simple Training of Dependency Parsers via Structured Boosting
Recently, significant progress has been made on learning structured predictors via coordinated training algorithms such as conditional random fields and maximum margin Markov ne...
Qin Iris Wang, Dekang Lin, Dale Schuurmans
ISCA
2003
IEEE
123views Hardware» more  ISCA 2003»
15 years 10 months ago
Detecting Global Stride Locality in Value Streams
Value prediction exploits localities in value streams. Previous research focused on exploiting two types of value localities, computational and context-based, in the local value h...
Huiyang Zhou, Jill Flanagan, Thomas M. Conte