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KDD
1998
ACM
101views Data Mining» more  KDD 1998»
15 years 8 months ago
Probabilistic Modeling for Information Retrieval with Unsupervised Training Data
We apply a well-known Bayesian probabilistic model to textual information retrieval: the classification of documents based on their relevance to a query. This model was previously...
Ernest P. Chan, Santiago Garcia, Salim Roukos
76
Voted
CDC
2009
IEEE
143views Control Systems» more  CDC 2009»
15 years 8 months ago
Identification of Probability weighted multiple ARX models and its application to behavior analysis
This paper proposes a Probability weighted ARX (PrARX) model wherein the multiple ARX models are composed by the probabilistic weighting functions. As the probabilistic weighting f...
Shun Taguchi, Tatsuya Suzuki, Soichiro Hayakawa, S...
141
Voted
HASE
2007
IEEE
15 years 8 months ago
Goal-Oriented Patterns for UML-Based Modeling of Embedded Systems Requirements
Embedded systems are used for critical applications that must adhere to safety constraints. Developers of these systems face three key challenges when attempting to apply existing...
Heather Goldsby, Sascha Konrad, Betty H. C. Cheng
123
Voted
COMPSAC
2004
IEEE
15 years 8 months ago
Implementing Hierarchical Features in a Graphically Based Formal Modelling Language
Many developers who could benefit from building and analysing formal models of their systems are deterred from doing so by the process algebra style input languages of formal mode...
Peter Henderson, Robert John Walters, Stephen Crou...
151
Voted
AAAI
2008
15 years 6 months ago
Multi-HDP: A Non Parametric Bayesian Model for Tensor Factorization
Matrix factorization algorithms are frequently used in the machine learning community to find low dimensional representations of data. We introduce a novel generative Bayesian pro...
Ian Porteous, Evgeniy Bart, Max Welling
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