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» Strong Separation of Learning Classes
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ML
2007
ACM
14 years 9 months ago
Learning deterministic context free grammars: The Omphalos competition
This paper describes the winning entry to the Omphalos context free grammar learning competition. Our approach integrates an information theoretic constituent likelihood measure to...
Alexander Clark
AGI
2011
14 years 1 months ago
Reinforcement Learning and the Bayesian Control Rule
We present an actor-critic scheme for reinforcement learning in complex domains. The main contribution is to show that planning and I/O dynamics can be separated such that an intra...
Pedro Alejandro Ortega, Daniel Alexander Braun, Si...
ECAI
2000
Springer
15 years 1 months ago
Learning Classification taxonomies from a classification knowledge based system
Knowledge-based systems (KBS) are not necessarily based on well-defined ontologies. In particular it is possible to build KBS for classification problems, where there is little con...
Hendra Suryanto, Paul Compton
ALT
1998
Springer
15 years 1 months ago
Lower Bounds for the Complexity of Learning Half-Spaces with Membership Queries
Exact learning of half-spaces over finite subsets of IRn from membership queries is considered. We describe the minimum set of labelled examples separating the target concept from ...
Valery N. Shevchenko, Nikolai Yu. Zolotykh
NIPS
2000
14 years 10 months ago
Recognizing Hand-written Digits Using Hierarchical Products of Experts
The product of experts learning procedure [1] can discover a set of stochastic binary features that constitute a non-linear generative model of handwritten images of digits. The q...
Guy Mayraz, Geoffrey E. Hinton