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SIGIR
1998
ACM
15 years 2 months ago
Boosting and Rocchio Applied to Text Filtering
We discuss two learning algorithms for text filtering: modified Rocchio and a boosting algorithm called AdaBoost. We show how both algorithms can be adapted to maximize any gene...
Robert E. Schapire, Yoram Singer, Amit Singhal
ICCBR
1997
Springer
15 years 1 months ago
Merge Strategies for Multiple Case Plan Replay
Planning by analogical reasoning is a learning method that consists of the storage, retrieval, and replay of planning episodes. Planning performance improves with the accumulationa...
Manuela M. Veloso
LION
2010
Springer
190views Optimization» more  LION 2010»
15 years 1 months ago
Algorithm Selection as a Bandit Problem with Unbounded Losses
Abstract. Algorithm selection is typically based on models of algorithm performance learned during a separate offline training sequence, which can be prohibitively expensive. In r...
Matteo Gagliolo, Jürgen Schmidhuber
CIBCB
2007
IEEE
15 years 1 months ago
Associative Artificial Neural Network for Discovery of Highly Correlated Gene Groups Based on Gene Ontology and Gene Expression
Abstract-- The advance of high-throughput experimental technologies poses continuous challenges to computational data analysis in functional and comparative genomics studies. Gene ...
Ji He, Xinbin Dai, Xuechun Zhao
CIKM
2007
Springer
15 years 1 months ago
Improve retrieval accuracy for difficult queries using negative feedback
How to improve search accuracy for difficult topics is an underaddressed, yet important research question. In this paper, we consider a scenario when the search results are so poo...
Xuanhui Wang, Hui Fang, ChengXiang Zhai