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CORR
2011
Springer
174views Education» more  CORR 2011»
13 years 25 days ago
Parameter Learning of Logic Programs for Symbolic-Statistical Modeling
We propose a logical/mathematical framework for statistical parameter learning of parameterized logic programs, i.e. de nite clause programs containing probabilistic facts with a ...
Yoshitaka Kameya, Taisuke Sato
QEST
2007
IEEE
14 years 3 months ago
Stochastic Game Logic
Stochastic game logic (SGL) is a new temporal logic that combines features of alternating temporal logic (to formalize the individual views and cooperation and reaction facilities...
Christel Baier, Tomás Brázdil, Marcu...
FPGA
2010
ACM
232views FPGA» more  FPGA 2010»
13 years 9 months ago
High-throughput bayesian computing machine with reconfigurable hardware
We use reconfigurable hardware to construct a high throughput Bayesian computing machine (BCM) capable of evaluating probabilistic networks with arbitrary DAG (directed acyclic gr...
Mingjie Lin, Ilia Lebedev, John Wawrzynek
ICCV
2007
IEEE
13 years 11 months ago
COST: An Approach for Camera Selection and Multi-Object Inference Ordering in Dynamic Scenes
Development of multiple camera based vision systems for analysis of dynamic objects such as humans is challenging due to occlusions and similarity in the appearance of a person wi...
Abhinav Gupta, Anurag Mittal, Larry S. Davis
BMCBI
2005
124views more  BMCBI 2005»
13 years 9 months ago
Probabilistic annotation of protein sequences based on functional classifications
: One of the most evident achievements of bioinformatics is the development of methods that transfer biological knowledge from characterised proteins to uncharacterised sequences. ...
Emmanuel D. Levy, Christos A. Ouzounis, Walter R. ...