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AAAI
2010
14 years 11 months ago
Efficient Lifting for Online Probabilistic Inference
Lifting can greatly reduce the cost of inference on firstorder probabilistic graphical models, but constructing the lifted network can itself be quite costly. In online applicatio...
Aniruddh Nath, Pedro Domingos
NIPS
2007
14 years 11 months ago
Fixing Max-Product: Convergent Message Passing Algorithms for MAP LP-Relaxations
We present a novel message passing algorithm for approximating the MAP problem in graphical models. The algorithm is similar in structure to max-product but unlike max-product it ...
Amir Globerson, Tommi Jaakkola
ACE
2004
193views Education» more  ACE 2004»
14 years 11 months ago
Conversational KM - Student Driven Learning
A conversational method of teaching whereby the students engage each other as a key part of the learning experience achieves a higher percentage of high grades (and presumably bet...
Marilyn A. Wells, Phillip W. Brook
ISMB
1994
14 years 11 months ago
Stochastic Motif Extraction Using Hidden Markov Model
In this paper, westudy the application of an ttMM(hidden Markov model) to the problem of representing protein sequencesby a stochastic motif. Astochastic protein motif represents ...
Yukiko Fujiwara, Minoru Asogawa, Akihiko Konagaya
3DPH
2009
135views Healthcare» more  3DPH 2009»
14 years 11 months ago
My Corporis Fabrica: A Unified Ontological, Geometrical and Mechanical View of Human Anatomy
A new anatomical database, My Corporis Fabrica (MyCF), is presented. It extends the reference anatomical ontology FMA (the Foundational Model of Anatomy) with the possibility to co...
Olivier Palombi, Guillaume Bousquet, David Jospin,...