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CDC
2010
IEEE
14 years 9 months ago
Thermal building model identification using time-scaled identification methods
The aim of this paper is to propose a robust and accurate method for the parametric identification of the thermal behaviour of low consumption buildings. These buildings are known ...
Paul Malisani, Francois Chaplais, Nicolas Petit, D...
ACL
2006
15 years 4 months ago
Approximation Lasso Methods for Language Modeling
Lasso is a regularization method for parameter estimation in linear models. It optimizes the model parameters with respect to a loss function subject to model complexities. This p...
Jianfeng Gao, Hisami Suzuki, Bin Yu
121
Voted
EGH
2004
Springer
15 years 6 months ago
Understanding the efficiency of GPU algorithms for matrix-matrix multiplication
Utilizing graphics hardware for general purpose numerical computations has become a topic of considerable interest. The implementation of streaming algorithms, typified by highly ...
Kayvon Fatahalian, Jeremy Sugerman, Pat Hanrahan
116
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ISLPED
2004
ACM
153views Hardware» more  ISLPED 2004»
15 years 8 months ago
Any-time probabilistic switching model using bayesian networks
Modeling and estimation of switching activities remain to be important problems in low-power design and fault analysis. A probabilistic Bayesian Network based switching model can ...
Shiva Shankar Ramani, Sanjukta Bhanja
135
Voted
APSEC
2006
IEEE
15 years 8 months ago
Interaction Testing in Model-Based Development: Effect on Model-Coverage
Model-based software development is gaining interest in domains such as avionics, space, and automotives. The model serves as the central artifact for the development efforts (suc...
Renée C. Bryce, Ajitha Rajan, Mats Per Erik...