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CORR
2007
Springer
112views Education» more  CORR 2007»
13 years 9 months ago
Learning from compressed observations
— The problem of statistical learning is to construct a predictor of a random variable Y as a function of a related random variable X on the basis of an i.i.d. training sample fr...
Maxim Raginsky
ERSHOV
2006
Springer
14 years 19 days ago
Information-Flow Attacks Based on Limited Observations
Abstract. Two formal models for description of timing attacks are presented, studied and compared with other security concepts. The models are based on a timed process algebra and ...
Damas P. Gruska
PVLDB
2010
167views more  PVLDB 2010»
13 years 7 months ago
Runtime Measurements in the Cloud: Observing, Analyzing, and Reducing Variance
One of the main reasons why cloud computing has gained so much popularity is due to its ease of use and its ability to scale computing resources on demand. As a result, users can ...
Jörg Schad, Jens Dittrich, Jorge-Arnulfo Quia...
SIGPRO
2008
90views more  SIGPRO 2008»
13 years 9 months ago
Some aspects of DOA estimation using a network of blind sensors
Recently, the DOA (Direction Of Arrival) estimation of an acoustic wavefront has been considered in a setting where the inference task is performed by a Wireless Sensor Network (W...
Marco Guerriero, Stefano Maranò, Vincenzo M...
JAIR
2011
144views more  JAIR 2011»
13 years 3 months ago
Iterated Belief Change Due to Actions and Observations
In action domains where agents may have erroneous beliefs, reasoning about the effects of actions involves reasoning about belief change. In this paper, we use a transition system...
Aaron Hunter, James P. Delgrande