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» A Discourse on Complexity of Process Models
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NIPS
2007
14 years 11 months ago
Discovering Weakly-Interacting Factors in a Complex Stochastic Process
Dynamic Bayesian networks are structured representations of stochastic processes. Despite their structure, exact inference in DBNs is generally intractable. One approach to approx...
Charlie Frogner, Avi Pfeffer
TSMC
2002
110views more  TSMC 2002»
14 years 9 months ago
Complexity reduction for "large image" processing
We present a method for sampling feature vectors in large (e.g., 2000 5000 16 bit) images that finds subsets of pixel locations which represent "regions" in the image. Sa...
Nikhil R. Pal, James C. Bezdek
CICLING
2003
Springer
15 years 2 months ago
Total Lexicalism and GASGrammars: A Direct Way to Semantics
A new sort of generative grammar (Sec2) will be demonstrated which is more radically “lexicalist” than any earlier one (Sec1). It is a modified Unification Categorial Gramma...
Gábor Alberti, Katalin Balogh, Judit Kleibe...
IHI
2010
132views Healthcare» more  IHI 2010»
14 years 4 months ago
Section classification in clinical notes using supervised hidden markov model
As more and more information is available in the Electronic Health Record in the form of free-text narrative, there is a need for automated tools, which can process and understand...
Ying Li, Sharon Lipsky Gorman, Noemie Elhadad
DEBS
2008
ACM
14 years 11 months ago
A framework for performance evaluation of complex event processing systems
Several new Complex Event Processing (CEP) engines have been recently released, many of which are intended to be used in performance sensitive scenarios - like fraud detection, tr...
Marcelo R. N. Mendes, Pedro Bizarro, Paulo Marques