1134 search results - page 183 / 227 » Sequential Inductive Learning |
123
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ACMICEC
2007
ACM
15 years 6 months ago
2007
ACM
Recommender systems are intelligent E-commerce applications that assist users in a decision-making process by offering personalized product recommendations during an interaction s...
118
Voted
NIPS
1997
15 years 3 months ago
1997
Up-propagation is an algorithm for inverting and learning neural network generative models. Sensory input is processed by inverting a model that generates patterns from hidden var...
123
Voted
CVPR
2007
IEEE
16 years 4 months ago
2007
IEEE
This paper proposes a novel approach to constructing a hierarchical representation of visual input that aims to enable recognition and detection of a large number of object catego...
148
Voted
ICML
1999
IEEE
16 years 3 months ago
1999
IEEE
Excerpted from: Boyan, Justin. Learning Evaluation Functions for Global Optimization. Ph.D. thesis, Carnegie Mellon University, August 1998. (Available as Technical Report CMU-CS-...
124
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ECCV
2010
Springer
15 years 2 months ago
2010
Springer
Abstract. Multiple-instance learning (MIL) allows for training classifiers from ambiguously labeled data. In computer vision, this learning paradigm has been recently used in many ...