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ICDM
2008
IEEE
172views Data Mining» more  ICDM 2008»
14 years 4 months ago
Active Learning of Equivalence Relations by Minimizing the Expected Loss Using Constraint Inference
Selecting promising queries is the key to effective active learning. In this paper, we investigate selection techniques for the task of learning an equivalence relation where the ...
Steffen Rendle, Lars Schmidt-Thieme
ACL
2010
13 years 8 months ago
Active Learning-Based Elicitation for Semi-Supervised Word Alignment
Semi-supervised word alignment aims to improve the accuracy of automatic word alignment by incorporating full or partial manual alignments. Motivated by standard active learning q...
Vamshi Ambati, Stephan Vogel, Jaime G. Carbonell
IIS
2004
13 years 11 months ago
Genetic Algorithm as an Attributes Selection Tool for Learning Algorithms
Learning algorithms, as NN or C4.5 require adequate sets of examples. In the paper we present the usability of genetic algorithms for selection significant features. Fitness of ind...
Halina Kwasnicka, Piotr Orski
ACL
2009
13 years 8 months ago
Active Learning for Multilingual Statistical Machine Translation
Statistical machine translation (SMT) models require bilingual corpora for training, and these corpora are often multilingual with parallel text in multiple languages simultaneous...
Gholamreza Haffari, Anoop Sarkar
HEURISTICS
2002
152views more  HEURISTICS 2002»
13 years 9 months ago
A Constraint-Based Method for Project Scheduling with Time Windows
This paper presents a heuristic algorithm for solving RCPSP/max, the resource constrained project scheduling problem with generalized precedence relations. The algorithm relies, a...
Amedeo Cesta, Angelo Oddi, Stephen F. Smith