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EMNLP
2004
14 years 11 months ago
Learning Hebrew Roots: Machine Learning with Linguistic Constraints
The morphology of Semitic languages is unique in the sense that the major word-formation mechanism is an inherently non-concatenative process of interdigitation, whereby two morph...
Ezra Daya, Dan Roth, Shuly Wintner
56
Voted
BMCBI
2010
88views more  BMCBI 2010»
14 years 10 months ago
Machine learning approach to predict protein phosphorylation sites by incorporating evolutionary information
Ashis Kumer Biswas, Nasimul Noman, Abdur Rahman Si...
BIOINFORMATICS
2005
79views more  BIOINFORMATICS 2005»
14 years 9 months ago
VizRank: finding informative data projections in functional genomics by machine learning
Gregor Leban, Ivan Bratko, Uros Petrovic, Tomaz Cu...
KDD
2005
ACM
117views Data Mining» more  KDD 2005»
15 years 10 months ago
Rule extraction from linear support vector machines
We describe an algorithm for converting linear support vector machines and any other arbitrary hyperplane-based linear classifiers into a set of non-overlapping rules that, unlike...
Glenn Fung, Sathyakama Sandilya, R. Bharat Rao
ICALT
2007
IEEE
15 years 4 months ago
Visualizing Narrative Structures and Learning Style Information in Personalized e-Learning Systems
This paper proposes a novel approach to the visualization of complex, but interrelated, sets of information to ease user cognition. Principally, it explores the potential of provi...
Fionán Peter Williams, Owen Conlan