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UAI
2008
15 years 6 months ago
Learning Hidden Markov Models for Regression using Path Aggregation
We consider the task of learning mappings from sequential data to real-valued responses. We present and evaluate an approach to learning a type of hidden Markov model (HMM) for re...
Keith Noto, Mark Craven
135
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IADIS
2004
15 years 6 months ago
Improving the Student Learning Experience for SQL Using Automatic Marking
An online interactive learning environment which offers immediate feedback to student learning SQL was constructed. This has supported the gathering of interesting statistics on s...
Gordon Russell, Andrew Cumming
NIPS
2000
15 years 6 months ago
Programmable Reinforcement Learning Agents
We present an expressive agent design language for reinforcement learning that allows the user to constrain the policies considered by the learning process.The language includes s...
David Andre, Stuart J. Russell
WSC
1998
15 years 6 months ago
Military Simulation Worlds and Organizational Learning
The operational benefits of having a learning organization include at the very minimum increased organizational competitiveness and responsiveness in a given realm of competition....
Michael D. Proctor, Justin C. Gubler
PR
2006
76views more  PR 2006»
15 years 4 months ago
Extending the relevant component analysis algorithm for metric learning using both positive and negative equivalence constraints
Relevant component analysis (RCA) is a recently proposed metric learning method for semi-supervised learning applications. It is a simple and efficient method that has been applie...
Dit-Yan Yeung, Hong Chang