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AAAI
1996
13 years 10 months ago
Computing Optimal Policies for Partially Observable Decision Processes Using Compact Representations
: Partially-observable Markov decision processes provide a very general model for decision-theoretic planning problems, allowing the trade-offs between various courses of actions t...
Craig Boutilier, David Poole
AAAI
1996
13 years 10 months ago
Learning Efficient Rules by Maintaining the Explanation Structure
Many learning systems suffer from the utility problem; that is, that time after learning is greater than time before learning. Discovering how to assure that learned knowledge wil...
Jihie Kim, Paul S. Rosenbloom
ANLP
1994
113views more  ANLP 1994»
13 years 10 months ago
Real-Time Spoken Language Translation Using Associative Processors
This paper proposes a model using associative processors (APs) for real-time spoken language translation. Spoken language translation requires (1) an accurate translation and (2) ...
Kozo Oi, Eiichiro Sumita, Osamu Furuse, Hitoshi Ii...
ISMB
1993
13 years 10 months ago
Knowledge-Based Generation of Machine-Learning Experiments: Learning with DNA Crystallography Data
Thoughit has been possible in the past to learn to predict DNAhydration patterns from crystallographic data, there is ambiguity in the choice of training data (both in terms of th...
Dawn M. Cohen, Casimir A. Kulikowski, Helen Berman
AAAI
1992
13 years 10 months ago
The Expected Value of Hierarchical Problem-Solving
est case using an abstraction hierarchy in problem-solving can yield an exponential speed-up in search e ciency. Such a speed-up is predicted by various analytical models develope...
Fahiem Bacchus, Qiang Yang