287 search results - page 23 / 58 » A discrete-time parallel update algorithm for distributed le... |
ICPP
1997
IEEE
14 years 1 months ago
1997
IEEE
r The lack of a versatile software tool for parallel program development has been one of the major obstacles for exploiting the potential of high-performance architectures. In this...
ECML
2007
Springer
14 years 3 months ago
2007
Springer
We present Policy Gradient Actor-Critic (PGAC), a new model-free Reinforcement Learning (RL) method for creating limited-memory stochastic policies for Partially Observable Markov ...
PODC
2010
ACM
13 years 10 months ago
2010
ACM
Low overhead analysis of large distributed data sets is necessary for current data centers and for future sensor networks. In such systems, each node holds some data value, e.g., ...
IPPS
1998
IEEE
14 years 1 months ago
1998
IEEE
:Artificial neural networks(ANN) have been used successfully in applications such as pattern recognition, image processing, automation and control. Majority of today's applica...
WWW
2011
ACM
13 years 3 months ago
2011
ACM
Gradient Boosted Regression Trees (GBRT) are the current state-of-the-art learning paradigm for machine learned websearch ranking — a domain notorious for very large data sets. ...