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JAIR
2006
138views more  JAIR 2006»
14 years 10 months ago
Logical Hidden Markov Models
Logical hidden Markov models (LOHMMs) upgrade traditional hidden Markov models to deal with sequences of structured symbols in the form of logical atoms, rather than flat characte...
Kristian Kersting, Luc De Raedt, Tapani Raiko
ML
2006
ACM
132views Machine Learning» more  ML 2006»
14 years 10 months ago
A suffix tree approach to anti-spam email filtering
We present an approach to email filtering based on the suffix tree data structure. A method for the scoring of emails using the suffix tree is developed and a number of scoring and...
Rajesh Pampapathi, Boris Mirkin, Mark Levene
APIN
2004
131views more  APIN 2004»
14 years 9 months ago
Rough Self Organizing Map
A rough self-organizing map (RSOM) with fuzzy discretization of feature space is described here. Discernibility reducts obtained using rough set theory are used to extract domain k...
Sankar K. Pal, Biswarup Dasgupta, Pabitra Mitra
COLING
2002
14 years 9 months ago
Putting Frames in Perspective
This paper attempts to bridge the gap between FrameNet frames and inference. We describe a computational formalism that captures structural relationships among participants in a d...
Nancy Chang, Srini Narayanan, Miriam R. L. Petruck
ECAI
2008
Springer
14 years 11 months ago
An Efficient Student Model Based on Student Performance and Metadata
This paper describes a new student model technology that combines evidences and knowledge about pedagogical and domain structure. Its structure is generated from the metadata avai...
Arndt Faulhaber, Erica Melis