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AIPS
1996
15 years 8 months ago
Planning Experiments: Resolving Interactions between Two Planning Spaces
Learning from experimentation allows a system to acquire planning domain knowledge by correcting its knowledge when an action execution fails. Experiments are designed and planned...
Yolanda Gil
CORR
2012
Springer
215views Education» more  CORR 2012»
14 years 2 months ago
Du TAL au TIL
position paper. Historically two types of NLP have been investigated: fully automated processing of language by machines (NLP) and autonomous processing of natural language by peop...
Michael Zock, Guy Lapalme
ICML
2004
IEEE
16 years 8 months ago
Boosting grammatical inference with confidence oracles
In this paper we focus on the adaptation of boosting to grammatical inference. We aim at improving the performances of state merging algorithms in the presence of noisy data by us...
Jean-Christophe Janodet, Richard Nock, Marc Sebban...
ALT
2005
Springer
16 years 4 months ago
Learnability of Probabilistic Automata via Oracles
Efficient learnability using the state merging algorithm is known for a subclass of probabilistic automata termed µ-distinguishable. In this paper, we prove that state merging alg...
Omri Guttman, S. V. N. Vishwanathan, Robert C. Wil...
ICDCS
1996
IEEE
15 years 11 months ago
How to Recover Efficiently and Asynchronously when Optimism Fails
We propose a new algorithm for recovering asynchronously from failures in a distributed computation. Our algorithm is based on two novel concepts - a fault-tolerant vector clock t...
Om P. Damani, Vijay K. Garg