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» Decision Making Using Probabilistic Inference Methods
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WSC
1998
15 years 3 months ago
Getting Started in Simulation in Healthcare
To begin using simulation in healthcare, one must first recognize the types of problems or decisions that can best be analyzed using simulation. Once a problem has been identified...
Julie C. Lowery
GECCO
2005
Springer
156views Optimization» more  GECCO 2005»
15 years 8 months ago
Extraction of informative genes from microarray data
Identification of those genes that might anticipate the clinical behavior of different types of cancers is challenging due to availability of a smaller number of patient samples...
Topon Kumar Paul, Hitoshi Iba
PKDD
2010
Springer
313views Data Mining» more  PKDD 2010»
15 years 28 days ago
Topic Modeling for Personalized Recommendation of Volatile Items
One of the major strengths of probabilistic topic modeling is the ability to reveal hidden relations via the analysis of co-occurrence patterns on dyadic observations, such as docu...
Maks Ovsjanikov, Ye Chen
ICRA
2009
IEEE
175views Robotics» more  ICRA 2009»
15 years 7 days ago
A combination of particle filtering and deterministic approaches for multiple kernel tracking
Color-based tracking methods have proved to be efficient for their robustness qualities. The drawback of such global representation of an object is the lack of information on its s...
Céline Teuliere, Éric Marchand, Laur...
CVPR
2009
IEEE
16 years 9 months ago
Dictionary-Free Categorization of Very Similar Objects via Stacked Evidence Trees
Current work in object categorization discriminates among objects that typically possess gross differences which are readily apparent. However, many applications require making ...
Andrew Moldenke, Asako Yamamuro, David A. Lytle, E...