995 search results - page 141 / 199 » Learning Useful Horn Approximations |
97
Voted
AAAI
2007
15 years 3 months ago
2007
In normal scenarios, computer scientists often consider the number of states in a game to capture the difficulty of learning an equilibrium. However, players do not see games in ...
110
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ACL
2009
14 years 10 months ago
2009
Stochastic gradient descent (SGD) uses approximate gradients estimated from subsets of the training data and updates the parameters in an online fashion. This learning framework i...
104
Voted
IJCAI
2007
15 years 2 months ago
2007
We present a fully connectionist system for the learning of first-order logic programs and the generation of corresponding models: Given a program and a set of training examples,...
111
Voted
PAMI
2008
15 years 22 days ago
2008
We construct an image segmentation scheme that combines top-down (TD) with bottom-up (BU) processing. In the proposed scheme, segmentation and recognition are intertwined rather th...
161
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RECOMB
2004
Springer
16 years 1 months ago
2004
Springer
Abstract. In this study we propose a novel model for the representation of biological networks and provide algorithms for learning model parameters from experimental data. Our appr...