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IWANN
2007
Springer
15 years 4 months ago
Multiple Instance Learning with Genetic Programming for Web Mining
Abstract. The aim of this paper is to present a new tool of multiple instance learning which is designed using a grammar based genetic programming (GGP) algorithm. We study its app...
Amelia Zafra, Sebastián Ventura, Enrique He...
GECCO
2006
Springer
171views Optimization» more  GECCO 2006»
15 years 1 months ago
A hybrid genetic search for multiple sequence alignment
This paper proposes a hybrid genetic algorithm for multiple sequence alignment. The algorithm evolves guide sequences and aligns input sequences based on the guide sequences. It a...
Seung-Hyun Moon, Sung-Soon Choi, Byung Ro Moon
PPL
2002
83views more  PPL 2002»
14 years 9 months ago
Trading Replication for Communication in Parallel Distributed-Memory Dense Solvers
We present new communication-efficient parallel dense linear solvers: a solver for triangular linear systems with multiple right-hand sides and an LU factorization algorithm. Thes...
Dror Irony, Sivan Toledo
ESANN
2004
14 years 11 months ago
Online policy adaptation for ensemble classifiers
Ensemble algorithms can improve the performance of a given learning algorithm through the combination of multiple base classifiers into an ensemble. In this paper, the idea of usin...
Christos Dimitrakakis, Samy Bengio
ML
2010
ACM
135views Machine Learning» more  ML 2010»
14 years 4 months ago
Multi-domain learning by confidence-weighted parameter combination
State-of-the-art statistical NLP systems for a variety of tasks learn from labeled training data that is often domain specific. However, there may be multiple domains or sources o...
Mark Dredze, Alex Kulesza, Koby Crammer