9886 search results - page 102 / 1978 » Learning Compressible Models |
105
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DASFAA
2008
IEEE
15 years 4 months ago
2008
IEEE
Abstract. Recently, we have proposed a novel method for the compression of time series based on mathematical models that explore dependencies between different time series. This r...
ROBOCUP
2007
Springer
15 years 4 months ago
2007
Springer
Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...
ICWL
2010
Springer
14 years 7 months ago
2010
Springer
Learning path construction is a complex task. It involves formulating and organizing learning activities, defining ways to evaluate student learning progress and to match such prog...
107
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NIPS
1992
14 years 11 months ago
1992
Vector Quantization is useful for data compression. Competitive Learning which minimizes reconstruction error is an appropriate algorithm for vector quantization of unlabelled dat...
ICCV
2009
IEEE
14 years 7 months ago
2009
IEEE
Structural semantics are fundamental to understanding both natural and man-made objects from languages to buildings. They are manifested as repeated structures or patterns and are...