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ATAL
2008
Springer
13 years 10 months ago
On the usefulness of opponent modeling: the Kuhn Poker case study
The application of reinforcement learning algorithms to Partially Observable Stochastic Games (POSG) is challenging since each agent does not have access to the whole state inform...
Alessandro Lazaric, Mario Quaresimale, Marcello Re...
SIGCOMM
2010
ACM
13 years 8 months ago
Crowdsourcing service-level network event monitoring
The user experience for networked applications is becoming a key benchmark for customers and network providers. Perceived user experience is largely determined by the frequency, d...
David R. Choffnes, Fabián E. Bustamante, Zi...
CONEXT
2006
ACM
14 years 2 months ago
Modeling the AIADD paradigm in networks with variable delays
Modeling TCP is fundamental for understanding Internet behavior. The reason is that TCP is responsible for carrying a huge quota of the Internet traffic. During last decade many a...
Gennaro Boggia, Pietro Camarda, Alessandro D'Alcon...
BMCBI
2006
151views more  BMCBI 2006»
13 years 8 months ago
Machine learning and word sense disambiguation in the biomedical domain: design and evaluation issues
Background: Word sense disambiguation (WSD) is critical in the biomedical domain for improving the precision of natural language processing (NLP), text mining, and information ret...
Hua Xu, Marianthi Markatou, Rositsa Dimova, Hongfa...
KDD
2008
ACM
181views Data Mining» more  KDD 2008»
14 years 9 months ago
Fastanova: an efficient algorithm for genome-wide association study
Studying the association between quantitative phenotype (such as height or weight) and single nucleotide polymorphisms (SNPs) is an important problem in biology. To understand und...
Xiang Zhang, Fei Zou, Wei Wang 0010