2036 search results - page 65 / 408 » From Sampling to Model Counting |
176
Voted
AAAI
2007
15 years 8 months ago
2007
We introduce a new collaborative machine learning paradigm in which the user directs a learning algorithm by manually editing the automatically induced model. We identify a generi...
284
Voted
NLP
2000
15 years 9 months ago
2000
Abstract. The purpose of this paper is (1) to provide a theoretical justification for the use of Monte-Carlo sampling for approximate resolution of NP-hard maximization problems in...
188
Voted
MIDDLEWARE
2004
Springer
15 years 11 months ago
2004
Springer
In recent years, the gossip-based communication model in large-scale distributed systems has become a general paradigm with important applications which include information dissemi...
161
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CCR
2008
15 years 6 months ago
2008
Flow records gathered by routers provide valuable coarse-granularity traffic information for several measurement-related network applications. However, due to high volumes of traf...
182
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ALT
1997
Springer
15 years 10 months ago
1997
Springer
Efficient learning of DFA is a challenging research problem in grammatical inference. It is known that both exact and approximate (in the PAC sense) identifiability of DFA is har...