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ICDCSW
2006
IEEE
15 years 8 months ago
Improve Searching by Reinforcement Learning in Unstructured P2Ps
— Existing searching schemes in unstructured P2Ps can be categorized as either blind or informed. The quality of query results in blind schemes is low. Informed schemes use simpl...
Xiuqi Li, Jie Wu
SIGMOD
2012
ACM
253views Database» more  SIGMOD 2012»
13 years 4 months ago
Skew-aware automatic database partitioning in shared-nothing, parallel OLTP systems
The advent of affordable, shared-nothing computing systems portends a new class of parallel database management systems (DBMS) for on-line transaction processing (OLTP) applicatio...
Andrew Pavlo, Carlo Curino, Stanley B. Zdonik
ICDAR
2005
IEEE
15 years 7 months ago
A Statistical Learning Approach To Document Image Analysis
In the field of computer analysis of document images, the problems of physical and logical layout analysis have been approached through a variety of heuristic, rule-based, and gr...
Kevin Laven, Scott Leishman, Sam T. Roweis
IMC
2003
ACM
15 years 7 months ago
In search of path diversity in ISP networks
Internet Service Providers (ISPs) can exploit path diversity to balance load and improve robustness. Unfortunately, it is difficult to evaluate the potential impact of these appr...
Renata Teixeira, Keith Marzullo, Stefan Savage, Ge...
PRL
2007
180views more  PRL 2007»
15 years 1 months ago
Feature selection based on rough sets and particle swarm optimization
: We propose a new feature selection strategy based on rough sets and Particle Swarm Optimization (PSO). Rough sets has been used as a feature selection method with much success, b...
Xiangyang Wang, Jie Yang, Xiaolong Teng, Weijun Xi...