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EMNLP
2004
15 years 7 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
109
Voted
BMCBI
2010
88views more  BMCBI 2010»
15 years 6 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»
15 years 5 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»
16 years 6 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
16 years 7 days 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