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» Experimental perspectives on learning from imbalanced data
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CEC
2007
IEEE
14 years 2 months ago
Repository method to suit different investment strategies
— This work is motivated by the interest in finding significant movements in financial stock prices. The detection of such movements is important because these could represent...
Alma Lilia Garcia-Almanza, Edward P. K. Tsang
ECML
2001
Springer
14 years 6 days ago
A Framework for Learning Rules from Multiple Instance Data
Abstract. This paper proposes a generic extension to propositional rule learners to handle multiple-instance data. In a multiple-instance representation, each learning example is r...
Yann Chevaleyre, Jean-Daniel Zucker
COGSCI
2010
87views more  COGSCI 2010»
13 years 6 months ago
The Logical Problem of Language Acquisition: A Probabilistic Perspective
Natural language is full of patterns that appear to fit with general linguistic rules but are ungrammatical. There has been much debate over how children acquire these ‘‘ling...
Anne S. Hsu, Nick Chater
DMIN
2006
125views Data Mining» more  DMIN 2006»
13 years 9 months ago
Privacy-Preserving Bayesian Network Learning From Heterogeneous Distributed Data
In this paper, we propose a post randomization technique to learn a Bayesian network (BN) from distributed heterogeneous data, in a privacy sensitive fashion. In this case, two or ...
Jianjie Ma, Krishnamoorthy Sivakumar
KDD
2005
ACM
153views Data Mining» more  KDD 2005»
14 years 8 months ago
Improving discriminative sequential learning with rare--but--important associations
Discriminative sequential learning models like Conditional Random Fields (CRFs) have achieved significant success in several areas such as natural language processing, information...
Xuan Hieu Phan, Minh Le Nguyen, Tu Bao Ho, Susumu ...