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» Analysis of Recursive State Machines
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ICML
2009
IEEE
16 years 4 months ago
Optimal reverse prediction: a unified perspective on supervised, unsupervised and semi-supervised learning
Training principles for unsupervised learning are often derived from motivations that appear to be independent of supervised learning. In this paper we present a simple unificatio...
Linli Xu, Martha White, Dale Schuurmans
AIED
2011
Springer
14 years 7 months ago
Workflow-Based Assessment of Student Online Activities with Topic and Dialogue Role Classification
The Pedagogical Assessment Workflow System (PAWS) is a new workflow-based pedagogical assessment framework that enables the efficient and robust integration of diverse datasets for...
Jun Ma, Jeon-Hyung Kang, Erin Shaw, Jihie Kim
ICML
2005
IEEE
16 years 4 months ago
Active learning for Hidden Markov Models: objective functions and algorithms
Hidden Markov Models (HMMs) model sequential data in many fields such as text/speech processing and biosignal analysis. Active learning algorithms learn faster and/or better by cl...
Brigham Anderson, Andrew Moore
127
Voted
ICML
2010
IEEE
15 years 4 months ago
Convergence of Least Squares Temporal Difference Methods Under General Conditions
We consider approximate policy evaluation for finite state and action Markov decision processes (MDP) in the off-policy learning context and with the simulation-based least square...
Huizhen Yu
182
Voted
OOPSLA
2007
Springer
15 years 9 months ago
Component nextgen: a sound and expressive component framework for java
Developing a general component system for a statically typed, object-oriented language is a challenging design problem for two reasons. First, mutually recursive references across...
James Sasitorn, Robert Cartwright