756 search results - page 105 / 152 » Adaptive Learning in Machine Summarization |
130
Voted
IROS
2009
IEEE
15 years 9 months ago
2009
IEEE
— When children learn to grasp a new object, they often know several possible grasping points from observing a parent’s demonstration and subsequently learn better grasps by tr...
114
Voted
ICML
2007
IEEE
16 years 3 months ago
2007
IEEE
Although support vector machines (SVMs) for binary classification give rise to a decision rule that only relies on a subset of the training data points (support vectors), it will ...
108
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CMMR
2007
Springer
15 years 8 months ago
2007
Springer
Abstract. Seeking to identify the constituent parts of the multidimensional auditory attribute that musicians know as timbre, music psychologists have made extensive use of multidi...
132
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ECML
2006
Springer
15 years 6 months ago
2006
Springer
Abstract We propose in this paper a novel approach to the classification of discrete sequences. This approach builds a model fitting some dynamical features deduced from the learni...
155
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ML
2012
ACM
13 years 10 months ago
2012
ACM
The ratio of two probability densities can be used for solving various machine learning tasks such as covariate shift adaptation (importance sampling), outlier detection (likeliho...