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JMLR
2006
116views more  JMLR 2006»
13 years 8 months ago
Step Size Adaptation in Reproducing Kernel Hilbert Space
This paper presents an online support vector machine (SVM) that uses the stochastic meta-descent (SMD) algorithm to adapt its step size automatically. We formulate the online lear...
S. V. N. Vishwanathan, Nicol N. Schraudolph, Alex ...
ICDM
2010
IEEE
167views Data Mining» more  ICDM 2010»
13 years 6 months ago
Averaged Stochastic Gradient Descent with Feedback: An Accurate, Robust, and Fast Training Method
On large datasets, the popular training approach has been stochastic gradient descent (SGD). This paper proposes a modification of SGD, called averaged SGD with feedback (ASF), tha...
Xu Sun, Hisashi Kashima, Takuya Matsuzaki, Naonori...
CPE
2003
Springer
149views Hardware» more  CPE 2003»
14 years 2 months ago
Logical and Stochastic Modeling with SMART
We describe the main features of SmArT, a software package providing a seamless environment for the logic and probabilistic analysis of complex systems. SmArT can combine differen...
Gianfranco Ciardo, R. L. Jones III, Andrew S. Mine...
AAAI
2007
13 years 11 months ago
Stochastic Optimization for Collision Selection in High Energy Physics
Artificial intelligence has begun to play a critical role in basic science research. In high energy physics, AI methods can aid precision measurements that elucidate the underlyi...
Shimon Whiteson, Daniel Whiteson
SIGIR
2003
ACM
14 years 2 months ago
Distributed Web Search as a Stochastic Game
Distributed search systems are an emerging phenomenon in Web search, in which independent topic-specific search engines provide search services, and metasearchers distribute user...
Rinat Khoussainov, Nicholas Kushmerick