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» Machine Learning Approaches for Inducing Student Models
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ICML
2009
IEEE
15 years 10 months ago
Topic-link LDA: joint models of topic and author community
Given a large-scale linked document collection, such as a collection of blog posts or a research literature archive, there are two fundamental problems that have generated a lot o...
Yan Liu, Alexandru Niculescu-Mizil, Wojciech Gryc
146
Voted
ALT
2003
Springer
16 years 21 days ago
Kernel Trick Embedded Gaussian Mixture Model
In this paper, we present a kernel trick embedded Gaussian Mixture Model (GMM), called kernel GMM. The basic idea is to embed kernel trick into EM algorithm and deduce a parameter ...
Jingdong Wang, Jianguo Lee, Changshui Zhang
143
Voted
ICMCS
2006
IEEE
125views Multimedia» more  ICMCS 2006»
15 years 9 months ago
Label Disambiguation and Sequence Modeling for Identifying Human Activities from Wearable Physiological Sensors
Wearable physiological sensors can provide a faithful record of a patient’s physiological states without constant attention of caregivers. A computer program that can infer huma...
Wei-Hao Lin, Alexander G. Hauptmann
128
Voted
ICML
2010
IEEE
15 years 4 months ago
Accelerated dual decomposition for MAP inference
Approximate MAP inference in graphical models is an important and challenging problem for many domains including computer vision, computational biology and natural language unders...
Vladimir Jojic, Stephen Gould, Daphne Koller
135
Voted
CORR
1998
Springer
153views Education» more  CORR 1998»
15 years 3 months ago
Identifying Discourse Markers in Spoken Dialog
In this paper, we present a method for identifying discourse marker usage in spontaneous speech based on machine learning. Discourse markers are denoted by special POS tags, and t...
Peter A. Heeman, Donna K. Byron, James F. Allen