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» On the optimal stacking of noisy observations
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IJON
1998
158views more  IJON 1998»
13 years 8 months ago
Bayesian Kullback Ying-Yang dependence reduction theory
Bayesian Kullback Ying—Yang dependence reduction system and theory is presented. Via stochastic approximation, implementable algorithms and criteria are given for parameter lear...
Lei Xu
MICRO
2008
IEEE
146views Hardware» more  MICRO 2008»
13 years 9 months ago
A small cache of large ranges: Hardware methods for efficiently searching, storing, and updating big dataflow tags
Dynamically tracking the flow of data within a microprocessor creates many new opportunities to detect and track malicious or erroneous behavior, but these schemes all rely on the...
Mohit Tiwari, Banit Agrawal, Shashidhar Mysore, Jo...
CDC
2009
IEEE
129views Control Systems» more  CDC 2009»
14 years 1 months ago
Resource allocation for signal detection with active sensors
— We consider the problem of determining the existence of known constant signals over a set of sites, given noisy measurements obtained by a team of active sensors that can switc...
Jerome Le Ny, Michael M. Zavlanos, George J. Pappa...
BMCBI
2004
114views more  BMCBI 2004»
13 years 8 months ago
Profiled support vector machines for antisense oligonucleotide efficacy prediction
Background: This paper presents the use of Support Vector Machines (SVMs) for prediction and analysis of antisense oligonucleotide (AO) efficacy. The collected database comprises ...
Gustavo Camps-Valls, Alistair M. Chalk, Antonio J....
SDM
2012
SIAM
252views Data Mining» more  SDM 2012»
11 years 11 months ago
Learning from Heterogeneous Sources via Gradient Boosting Consensus
Multiple data sources containing different types of features may be available for a given task. For instance, users’ profiles can be used to build recommendation systems. In a...
Xiaoxiao Shi, Jean-François Paiement, David...