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CORR
2010
Springer
96views Education» more  CORR 2010»
15 years 7 months ago
Learning High-Dimensional Markov Forest Distributions: Analysis of Error Rates
The problem of learning forest-structured discrete graphical models from i.i.d. samples is considered. An algorithm based on pruning of the Chow-Liu tree through adaptive threshol...
Vincent Y. F. Tan, Animashree Anandkumar, Alan S. ...
BMCBI
2007
105views more  BMCBI 2007»
15 years 7 months ago
Constrained hidden Markov models for population-based haplotyping
abstract Niels Landwehr1 , Taneli Mielik¨ainen2 , Lauri Eronen2 , Hannu Toivonen1,2 , and Heikki Mannila2 1 Machine Learning Lab, Dept. of Comp. Science, University of Freiburg, G...
Niels Landwehr, Taneli Mielikäinen, Lauri Ero...
ECTEL
2007
Springer
16 years 1 months ago
Mobile Social Software with Context Awareness and Data Uncertainty for Technology-Enhanced Learning
Mobile computing technologies and social software have given new challenges to technology-enhanced learning. Simple e-learning system personalization, adaptation and authoring beco...
Yiwei Cao
180
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COLT
2003
Springer
16 years 20 days ago
Learning All Subfunctions of a Function
Sublearning, a model for learning of subconcepts of a concept, is presented. Sublearning a class of total recursive functions informally means to learn all functions from that cla...
Sanjay Jain, Efim B. Kinber, Rolf Wiehagen
ECML
2005
Springer
16 years 1 months ago
Inducing Hidden Markov Models to Model Long-Term Dependencies
We propose in this paper a novel approach to the induction of the structure of Hidden Markov Models. The induced model is seen as a lumped process of a Markov chain. It is construc...
Jérôme Callut, Pierre Dupont