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JMLR
2012
11 years 11 months ago
Contextual Bandit Learning with Predictable Rewards
Contextual bandit learning is a reinforcement learning problem where the learner repeatedly receives a set of features (context), takes an action and receives a reward based on th...
Alekh Agarwal, Miroslav Dudík, Satyen Kale,...
JMLR
2012
11 years 11 months ago
On Nonparametric Guidance for Learning Autoencoder Representations
Unsupervised discovery of latent representations, in addition to being useful for density modeling, visualisation and exploratory data analysis, is also increasingly important for...
Jasper Snoek, Ryan Prescott Adams, Hugo Larochelle
FOAL
2007
ACM
14 years 22 days ago
On the relation of aspects and monads
The relation between aspects and monads is a recurring topic in discussions in the programming language community, although it has never been elaborated whether their resemblences...
Christian Hofer, Klaus Ostermann
SEMCO
2007
IEEE
14 years 3 months ago
Evolutionary Conceptual Clustering of Semantically Annotated Resources
A clustering method is presented which can be applied to knowledge bases storing semantically annotated resources. The method can be used to discover groupings of structured objec...
Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
MM
1999
ACM
150views Multimedia» more  MM 1999»
14 years 1 months ago
Heuristic approach for generic audio data segmentation and annotation
A real-time audio segmentation and indexing scheme is presented in this paper. Audio recordings are segmented and classified into basic audio types such as silence, speech, music,...
Tong Zhang, C. C. Jay Kuo