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» Using Prior Knowledge: Problems and Solutions
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ICML
2008
IEEE
16 years 3 months ago
Gaussian process product models for nonparametric nonstationarity
Stationarity is often an unrealistic prior assumption for Gaussian process regression. One solution is to predefine an explicit nonstationary covariance function, but such covaria...
Ryan Prescott Adams, Oliver Stegle
IJCAI
2007
15 years 4 months ago
Bayesian Inverse Reinforcement Learning
Inverse Reinforcement Learning (IRL) is the problem of learning the reward function underlying a Markov Decision Process given the dynamics of the system and the behaviour of an e...
Deepak Ramachandran, Eyal Amir
ICCBR
2005
Springer
15 years 8 months ago
Language Games: Solving the Vocabulary Problem in Multi-Case-Base Reasoning
The problem of heterogeneous case representation poses a major obstacle to realising real-life multi-case-base reasoning (MCBR) systems. The knowledge overhead in developing and ma...
Paolo Avesani, Conor Hayes, Marco Cova
CSMR
2006
IEEE
15 years 9 months ago
Regaining Lost Knowledge through Dynamic Analysis and Aspect Orientation
This paper describes our experiences of applying dynamic analysis solutions on an industrial legacy application written in C, with the help of Aspect Orientation (AO). We use a nu...
Andy Zaidman, Serge Demeyer, Bram Adams, Kris De S...
DFT
2008
IEEE
149views VLSI» more  DFT 2008»
15 years 4 months ago
Can Knowledge Regarding the Presence of Countermeasures Against Fault Attacks Simplify Power Attacks on Cryptographic Devices?
Side-channel attacks are nowadays a serious concern when implementing cryptographic algorithms. Powerful ways for gaining information about the secret key as well as various count...
Francesco Regazzoni, Thomas Eisenbarth, Luca Breve...