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KDD
2003
ACM
149views Data Mining» more  KDD 2003»
14 years 9 months ago
Knowledge-based data mining
We describe techniques for combining two types of knowledge systems: expert and machine learning. Both the expert system and the learning system represent information by logical d...
Søren Damgaard, Sholom M. Weiss, Shubir Kap...
CONCUR
2003
Springer
14 years 1 months ago
A Process-Algebraic Language for Probabilistic I/O Automata
We present a process-algebraic language for Probabilistic I/O Automata (PIOA). To ensure that PIOA specifications given in our language satisfy the “input-enabled” property, w...
Eugene W. Stark, Rance Cleaveland, Scott A. Smolka
KDD
2004
ACM
210views Data Mining» more  KDD 2004»
14 years 9 months ago
Web usage mining based on probabilistic latent semantic analysis
The primary goal of Web usage mining is the discovery of patterns in the navigational behavior of Web users. Standard approaches, such as clustering of user sessions and discoveri...
Xin Jin, Yanzan Zhou, Bamshad Mobasher
ACL
1998
13 years 10 months ago
Maximum Entropy Model Learning of the Translation Rules
This paper proposes a learning method of translation rules from parallel corpora. This method applies the maximum entropy principle to a probabilistic model of translation rules. ...
Kengo Sato, Masakazu Nakanishi
SIGMOD
2011
ACM
250views Database» more  SIGMOD 2011»
12 years 11 months ago
Hybrid in-database inference for declarative information extraction
In the database community, work on information extraction (IE) has centered on two themes: how to effectively manage IE tasks, and how to manage the uncertainties that arise in th...
Daisy Zhe Wang, Michael J. Franklin, Minos N. Garo...