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JMS
2010
90views more  JMS 2010»
13 years 7 months ago
Prediction of Clinical Conditions after Coronary Bypass Surgery using Dynamic Data Analysis
This work studies the impact of using dynamic information as features in a machine learning algorithm for the prediction task of classifying critically ill patients in two classes ...
Kristien Van Loon, Fabián Güiza, Geert...
CODES
2010
IEEE
13 years 7 months ago
Statistical approach in a system level methodology to deal with process variation
The impact of process variation in state of the art technology makes traditional (worst case) designs unnecessarily pessimistic, which translates to suboptimal designs in terms of...
Concepción Sanz Pineda, Manuel Prieto, Jos&...
BMCBI
2010
155views more  BMCBI 2010»
13 years 6 months ago
BrEPS: a flexible and automatic protocol to compute enzyme-specific sequence profiles for functional annotation
Background: Models for the simulation of metabolic networks require the accurate prediction of enzyme function. Based on a genomic sequence, enzymatic functions of gene products a...
Constantin Bannert, A. Welfle, C. aus dem Spring, ...
CORR
2010
Springer
151views Education» more  CORR 2010»
13 years 5 months ago
Selective Call Out and Real Time Bidding
Display ads on the Internet are increasingly sold via ad exchanges such as RightMedia, AdECN and Doubleclick Ad Exchange. These exchanges allow real-time bidding, that is, each ti...
Tanmoy Chakraborty, Eyal Even-Dar, Sudipto Guha, Y...
IJRR
2011
218views more  IJRR 2011»
13 years 4 months ago
Motion planning under uncertainty for robotic tasks with long time horizons
Abstract Partially observable Markov decision processes (POMDPs) are a principled mathematical framework for planning under uncertainty, a crucial capability for reliable operation...
Hanna Kurniawati, Yanzhu Du, David Hsu, Wee Sun Le...