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COLT
1994
Springer
15 years 5 months ago
Learning Probabilistic Automata with Variable Memory Length
We propose and analyze a distribution learning algorithm for variable memory length Markov processes. These processes can be described by a subclass of probabilistic nite automata...
Dana Ron, Yoram Singer, Naftali Tishby
CVPR
2011
IEEE
14 years 8 months ago
Multifactor Analysis Based on Factor-Dependent Geometry
This paper proposes a novel method that preserves the geometrical structure created by variation of multiple factors in analysis of multiple factor models, i.e., multifactor analy...
Sung Won Park
CN
1999
143views more  CN 1999»
15 years 1 months ago
Embedding Knowledge in Web Documents
The paper argues for the use of general and intuitive knowledge representation languages (and simpler notational variants, e.g. subsets of natural languages) for indexing the cont...
Philippe Martin, Peter W. Eklund
ICUIMC
2009
ACM
15 years 8 months ago
PicAChoo: a tool for customizable feature extraction utilizing characteristics of textual data
Although documents have hundreds of thousands of unique words, only a small number of words are significantly useful for intelligent services. For this reason, feature extraction ...
Jaeseok Myung, Jung-Yeon Yang, Sang-goo Lee
SEBD
2003
154views Database» more  SEBD 2003»
15 years 2 months ago
Management of User Preferences in Data Intensive Applications
Abstract. The management of user preferences is becoming a fundamental ingredient of modern Web-based data-intensive applications, in which information filtering is crucial to red...
Riccardo Torlone, Paolo Ciaccia