850 search results - page 90 / 170 » Using Machine Learning to Guide Architecture Simulation |
ICASSP
2010
IEEE
13 years 8 months ago
2010
IEEE
Sparse representation theory has been increasingly used in the fields of signal processing and machine learning. The standard sparse models are not invariant to spatial transform...
AAAI
2006
13 years 9 months ago
2006
A major goal for AI is to allow users to interact with agents that learn in real time, making new kinds of interactive simulations, training applications, and digital entertainmen...
CEAS
2004
Springer
14 years 1 months ago
2004
Springer
Abstract. We present Filtron, a prototype anti-spam filter that integrates the main empirical conclusions of our comprehensive analysis on using machine learning to construct eff...
ICML
2010
IEEE
13 years 9 months ago
2010
IEEE
In Sparse Coding (SC), input vectors are reconstructed using a sparse linear combination of basis vectors. SC has become a popular method for extracting features from data. For a ...
BMCBI
2010
13 years 8 months ago
2010
Background: Biological processes in cells are carried out by means of protein-protein interactions. Determining whether a pair of proteins interacts by wet-lab experiments is reso...