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» Combining Estimators to Improve Performance
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WCW
2004
Springer
15 years 12 months ago
ShortCuts: Using Soft State to Improve DHT Routing
Distributed hash tables are increasingly being proposed as the core substrate for content delivery applications in the Internet, such as cooperative Web caches, Web index and sear...
Kiran Tati, Geoffrey M. Voelker
ICS
2004
Tsinghua U.
15 years 12 months ago
Inter-reference gap distribution replacement: an improved replacement algorithm for set-associative caches
We propose a novel replacement algorithm, called InterReference Gap Distribution Replacement (IGDR), for setassociative secondary caches of processors. IGDR attaches a weight to e...
Masamichi Takagi, Kei Hiraki
AVSS
2007
IEEE
16 years 26 days ago
Vehicular traffic density estimation via statistical methods with automated state learning
This paper proposes a novel approach of combining an unsupervised clustering scheme called AutoClass with Hidden Markov Models (HMMs) to determine the traffic density state in a R...
Evan Tan, Jing Chen
IJCAI
2003
15 years 7 months ago
Monte Carlo Theory as an Explanation of Bagging and Boosting
In this paper we propose the framework of Monte Carlo algorithms as a useful one to analyze ensemble learning. In particular, this framework allows one to guess when bagging will ...
Roberto Esposito, Lorenza Saitta
ATAL
2005
Springer
16 years 1 days ago
Improving reinforcement learning function approximators via neuroevolution
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
Shimon Whiteson