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BMCBI
2010
229views more  BMCBI 2010»
13 years 8 months ago
Mocapy++ - A toolkit for inference and learning in dynamic Bayesian networks
Background: Mocapy++ is a toolkit for parameter learning and inference in dynamic Bayesian networks (DBNs). It supports a wide range of DBN architectures and probability distribut...
Martin Paluszewski, Thomas Hamelryck
ICAI
2008
13 years 10 months ago
Nonrestrictive Concept-Acquisition by Representational Redescription
coarse procedures or very abstract frames from the point of view of algorithm, because some crucial issues like the representation, evolution, storage, and learning process of conc...
Hui Wei, Yan Chen
ECCV
1998
Springer
14 years 10 months ago
Shape Representations from Shading Primitives
Diffuse interreflections mean that surface shading and shape are related in ways that are difficult to untangle; in particular, distant and invisible surfaces may affect the shadi...
John A. Haddon, David A. Forsyth
GECCO
2005
Springer
135views Optimization» more  GECCO 2005»
14 years 2 months ago
The impact of cellular representation on finite state agents for prisoner's dilemma
The iterated prisoner’s dilemma is a widely used computational model of cooperation and conflict. Many studies report emergent cooperation in populations of agents trained to p...
Daniel A. Ashlock, Eun-Youn Kim
DAGSTUHL
2007
13 years 10 months ago
Nonlinear Approximation and Image Representation using Wavelets
We address the problem of finding sparse wavelet representations of high-dimensional vectors. We present a lower-bounding technique and use it to develop an algorithm for computi...
Sudipto Guha, Boulos Harb