Sciweavers

4947 search results - page 817 / 990
» Learning Module Networks
Sort
View
JMLR
2010
139views more  JMLR 2010»
13 years 5 months ago
Tempered Markov Chain Monte Carlo for training of Restricted Boltzmann Machines
Alternating Gibbs sampling is the most common scheme used for sampling from Restricted Boltzmann Machines (RBM), a crucial component in deep architectures such as Deep Belief Netw...
Guillaume Desjardins, Aaron C. Courville, Yoshua B...
ICANN
2011
Springer
13 years 2 months ago
Robot Trajectory Prediction and Recognition Based on a Computational Mirror Neurons Model
Mirror neurons are premotor neurons that are considered to play a role in goal-directed actions, action understanding and even social cognition. As one of the promising research ar...
Junpei Zhong, Cornelius Weber, Stefan Wermter
ICPR
2006
IEEE
14 years 11 months ago
Classification of Team Behaviors in Sports Video Games
This paper considers the application of pattern recognition techniques in modern computer games. Towards the problem of realizing more life-like behavior for artificial game chara...
Christian Thurau, Thomas Hettenhausen, Christian B...
IJCNN
2008
IEEE
14 years 5 months ago
Lazy Self-Organizing Map and its behaviors
— The Self-Organizing Map (SOM) is a famous algorithm for the unsupervised learning and visualization introduced by Teuvo Kohonen. This study proposes the Lazy SelfOrganizing Map...
Taku Haraguchi, Haruna Matsushita, Yoshifumi Nishi...
DIGITEL
2007
IEEE
14 years 5 months ago
A Brief Survey of Distributed Computational Toys
Distributed Computational Toys are physical artifacts that function based on the coordination of more than one computing device. Often, these toys take the form of a microcontroll...
Eric Schweikardt, Mark D. Gross