1407 search results - page 111 / 282 » Learning Abstract Scheduling Models |
102
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ADMA
2006
Springer
15 years 6 months ago
2006
Springer
Abstract. Most of the work in Machine Learning assume that examples are generated at random according to some stationary probability distribution. In this work we study the problem...
98
Voted
DELFI
2003
15 years 3 months ago
2003
Abstract: Die Realisierung innovativer, didaktisch und lerntheoretisch begründeter eLearning-Szenarien benötigt dezidierte Werkzeuge, die neuartige Lehr- und Lernformen adäquat ...
107
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EDM
2008
15 years 4 months ago
2008
Students can use an educational system's help in unexpected r example, they may bypass abstract hints in search of a concrete solution. This behavior has traditionally been la...
117
Voted
ECCV
2008
Springer
16 years 4 months ago
2008
Springer
Abstract. We present a technique for learning the parameters of a continuousstate Markov random field (MRF) model of optical flow, by minimizing the training loss for a set of grou...
129
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JSAI
2005
Springer
15 years 8 months ago
2005
Springer
Abstract. This paper is concerned with algorithms for the logical generalisation of probabilistic temporal models from examples. The algorithms combine logic and probabilistic mode...