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ARTMED
1999
92views more  ARTMED 1999»
15 years 6 months ago
Two-Stage Machine Learning model for guideline development
We present a Two-Stage Machine Learning (ML) model as a data mining method to develop practice guidelines and apply it to the problem of dementia staging. Dementia staging in clin...
Subramani Mani, William Rodman Shankle, Malcolm B....
JMLR
2010
154views more  JMLR 2010»
15 years 1 months ago
Infinite Predictor Subspace Models for Multitask Learning
Given several related learning tasks, we propose a nonparametric Bayesian model that captures task relatedness by assuming that the task parameters (i.e., predictors) share a late...
Piyush Rai, Hal Daumé III
COGSCI
2002
99views more  COGSCI 2002»
15 years 6 months ago
Learning words from sights and sounds: a computational model
This paper presents an implemented computational model of word acquisition which learns directly from raw multimodal sensory input. Set in an information theoretic framework, the ...
Deb Roy, Alex Pentland
ERCIMDL
2006
Springer
114views Education» more  ERCIMDL 2006»
15 years 10 months ago
Towards a Digital Library for Language Learning
Digital libraries have untapped potential for supporting language teaching and learning. Although the Internet at large is widely used for language education, it has critical disad...
Shaoqun Wu, Ian H. Witten
FLAIRS
2000
15 years 8 months ago
A Multiagent Architecture to Support Distance Learning Personalization on the Web
This article presents the description of the objectives, the structure and the functionality of an interactive system intended to focus the teaching on the performanceof the stude...
Jesus Boticario, Elena Gaudioso