170 search results - page 23 / 34 » Parameter Learning of Logic Programs for Symbolic-Statistica... |
IJCAI
2007
14 years 11 months ago
2007
Programming a humanoid robot to walk is a challenging problem in robotics. Traditional approaches rely heavily on prior knowledge of the robot's physical parameters to devise...
BMCBI
2010
14 years 9 months ago
2010
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...
84
Voted
ICML
2009
IEEE
15 years 10 months ago
2009
IEEE
In this paper, we introduce a generic framework for semi-supervised kernel learning. Given pairwise (dis-)similarity constraints, we learn a kernel matrix over the data that respe...
SEMCO
2007
IEEE
15 years 3 months ago
2007
IEEE
Many recent advances in complex domains such as Natural Language Processing (NLP) have taken a discriminative approach in conjunction with the global application of structural and...
72
Voted
COLT
1999
Springer
15 years 1 months ago
1999
Springer
This paper proposes the use of constructive ordinals as mistake bounds in the on-line learning model. This approach elegantly generalizes the applicability of the on-line mistake ...