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» A Neural Probabilistic Language Model
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VALUETOOLS
2006
ACM
162views Hardware» more  VALUETOOLS 2006»
15 years 3 months ago
Using UML state machines and petri nets for the quantitative investigation of ETCS
This paper proposes the modeling of technical systems and their behavior by means of Unified Modeling Language (UML) State Machines and the extending UML Profile for Schedulabil...
Jan Trowitzsch, Armin Zimmermann
RECOMB
2003
Springer
15 years 10 months ago
A multi-expert system for the automatic detection of protein domains from sequence information
We describe a novel method for detecting the domain structure of a protein from sequence information alone. The method is based on analyzing multiple sequence alignments that are ...
Niranjan Nagarajan, Golan Yona
ICIAP
2003
ACM
15 years 2 months ago
Multi-block PCA method for image change detection
Principal component analyses (PCA) has been widely used in reduction of the dimensionality of datasets, classification, feature extraction, etc. It has been combined with many oth...
B. Qiu, Véronique Prinet, Edith Perrier, Ol...
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ICDT
2009
ACM
166views Database» more  ICDT 2009»
15 years 10 months ago
A compositional framework for complex queries over uncertain data
The ability to flexibly compose confidence computation with the operations of relational algebra is an important feature of probabilistic database query languages. Computing confi...
Christoph Koch, Michaela Götz
IR
2008
14 years 9 months ago
A probability ranking principle for interactive information retrieval
The classical Probability Ranking Principle (PRP) forms the theoretical basis for probabilistic Information Retrieval (IR) models, which are dominating IR theory since about 20 ye...
Norbert Fuhr