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» On the uncertainty in sequential hypothesis testing
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KDD
2009
ACM
224views Data Mining» more  KDD 2009»
13 years 10 months ago
Issues in evaluation of stream learning algorithms
Learning from data streams is a research area of increasing importance. Nowadays, several stream learning algorithms have been developed. Most of them learn decision models that c...
João Gama, Raquel Sebastião, Pedro P...
JAIR
2008
126views more  JAIR 2008»
13 years 5 months ago
Optimal and Approximate Q-value Functions for Decentralized POMDPs
Decision-theoretic planning is a popular approach to sequential decision making problems, because it treats uncertainty in sensing and acting in a principled way. In single-agent ...
Frans A. Oliehoek, Matthijs T. J. Spaan, Nikos A. ...
POPL
2004
ACM
14 years 5 months ago
Atomizer: a dynamic atomicity checker for multithreaded programs
Ensuring the correctness of multithreaded programs is difficult, due to the potential for unexpected interactions between concurrent threads. Much previous work has focused on det...
Cormac Flanagan, Stephen N. Freund
BMCBI
2010
96views more  BMCBI 2010»
13 years 5 months ago
sdef: an R package to synthesize lists of significant features in related experiments
Background: In microarray studies researchers are often interested in the comparison of relevant quantities between two or more similar experiments, involving different treatments...
Marta Blangiardo, Alberto Cassese, Sylvia Richards...
IPCCC
2006
IEEE
13 years 11 months ago
Connectionless port scan detection on the backbone
Considerable research has been done on detecting and blocking portscan activities that are typically conducted by infected hosts to discover other vulnerable hosts. However, the f...
Avinash Sridharan, Tao Ye, Supratik Bhattacharyya