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» Learning the Common Structure of Data
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JAIR
2008
148views more  JAIR 2008»
15 years 4 months ago
Learning Partially Observable Deterministic Action Models
We present exact algorithms for identifying deterministic-actions' effects and preconditions in dynamic partially observable domains. They apply when one does not know the ac...
Eyal Amir, Allen Chang
SIGMOD
2008
ACM
131views Database» more  SIGMOD 2008»
16 years 4 months ago
Discovering topical structures of databases
The increasing complexity of enterprise databases and the prevalent lack of documentation incur significant cost in both understanding and integrating the databases. Existing solu...
Wensheng Wu, Berthold Reinwald, Yannis Sismanis, R...
AFPAC
2000
Springer
341views Mathematics» more  AFPAC 2000»
15 years 8 months ago
An Associative Perception-Action Structure Using a Localized Space Variant Information Representation
Abstract. Most of the processing in vision today uses spatially invariant operations. This gives efficient and compact computing structures, with the conventional convenient separa...
Gösta H. Granlund
IPM
2006
171views more  IPM 2006»
15 years 4 months ago
Automatic extraction of bilingual word pairs using inductive chain learning in various languages
In this paper, we propose a new learning method for extracting bilingual word pairs from parallel corpora in various languages. In cross-language information retrieval, the system...
Hiroshi Echizen-ya, Kenji Araki, Yoshio Momouchi
HPCN
1997
Springer
15 years 7 months ago
Boolean Function Manipulation on a Parallel System Using BDDs
This paper describes a distributed algorithm for Boolean function manipulation. The algorithm is based on Binary Decision Diagrams (BDDs), which are one of the most commonly used ...
F. Bianchi, Fulvio Corno, Maurizio Rebaudengo, Mat...