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PR
2007
107views more  PR 2007»
15 years 5 months ago
Newtonian clustering: An approach based on molecular dynamics and global optimization
Given a data set, a dynamical procedure is applied to the data points in order to shrink and separate, possibly overlapping clusters. Namely, Newton’s equations of motion are em...
Konstantinos Blekas, Isaac E. Lagaris
CORR
2010
Springer
105views Education» more  CORR 2010»
15 years 5 months ago
Optimism in Reinforcement Learning Based on Kullback-Leibler Divergence
We consider model-based reinforcement learning in finite Markov Decision Processes (MDPs), focussing on so-called optimistic strategies. Optimism is usually implemented by carryin...
Sarah Filippi, Olivier Cappé, Aurelien Gari...
JMLR
2010
143views more  JMLR 2010»
15 years 4 months ago
A Quasi-Newton Approach to Nonsmooth Convex Optimization Problems in Machine Learning
We extend the well-known BFGS quasi-Newton method and its memory-limited variant LBFGS to the optimization of nonsmooth convex objectives. This is done in a rigorous fashion by ge...
Jin Yu, S. V. N. Vishwanathan, Simon Günter, ...
JSAC
2010
142views more  JSAC 2010»
15 years 4 months ago
Cross-layer optimization for streaming scalable video over fading wireless networks
—We present a cross-layer design of transmitting scalable video streams from a base station to multiple clients over a shared fading wireless network by jointly considering the a...
Honghai Zhang, Yanyan Zheng, Mohammad A. Khojastep...
SIGOPS
2010
127views more  SIGOPS 2010»
15 years 4 months ago
Optimizing information flow in the gossip objects platform
Gossip-based protocols are commonly used for diffusing information in large-scale distributed applications. GO (Gossip Objects) is a per-node gossip platform that we developed in...
Ymir Vigfusson, Ken Birman, Qi Huang, Deepak P. Na...