553 search results - page 73 / 111 » Bayesian network learning algorithms using structural restri... |
CVPR
2012
IEEE
11 years 11 months ago
2012
IEEE
This paper addresses recognition of human activities with stochastic structure, characterized by variable spacetime arrangements of primitive actions, and conducted by a variable ...
WWW
2010
ACM
14 years 3 months ago
2010
ACM
We propose a novel method, based on concepts from expander graphs, to sample communities in networks. We show that our sampling method, unlike previous techniques, produces subgra...
IJCNN
2006
IEEE
14 years 2 months ago
2006
IEEE
— We propose a new annealing method for the hyperparameters of several recent Learning Vector Quantization algorithms. We first analyze the relationship between values assigned ...
IJCAI
2007
13 years 10 months ago
2007
Recently, significant progress has been made on learning structured predictors via coordinated training algorithms such as conditional random fields and maximum margin Markov ne...
GECCO
2006
Springer
14 years 4 days ago
2006
Springer
In reinforcement learning, an agent interacting with its environment strives to learn a policy that specifies, for each state it may encounter, what action to take. Evolutionary c...