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AROBOTS
2011
15 years 1 months ago
Learning GP-BayesFilters via Gaussian process latent variable models
Abstract— GP-BayesFilters are a general framework for integrating Gaussian process prediction and observation models into Bayesian filtering techniques, including particle filt...
Jonathan Ko, Dieter Fox
HAIS
2010
Springer
15 years 4 months ago
Reducing Dimensionality in Multiple Instance Learning with a Filter Method
In this article, we describe a feature selection algorithm which can automatically find relevant features for multiple instance learning. Multiple instance learning is considered a...
Amelia Zafra, Mykola Pechenizkiy, Sebastián...
ALT
2009
Springer
16 years 3 months ago
Learning from Streams
Abstract. Learning from streams is a process in which a group of learners separately obtain information about the target to be learned, but they can communicate with each other in ...
Sanjay Jain, Frank Stephan, Nan Ye
WWW
2003
ACM
16 years 7 months ago
Learning Resources Collections: Completeness and Compactness Issues
Features of a quality learning resource collection are discussed and some measures that may be helpful for collection maintenance and update are proposed. Keywords Distance educat...
D. Rovinskiy, Kateryna Synytsya
ACMICEC
2008
ACM
272views ECommerce» more  ACMICEC 2008»
15 years 8 months ago
Adapting the interaction state model in conversational recommender systems
Conventional conversational recommender systems support interaction strategies that are hard-coded into the system in advance. In this context, Reinforcement Learning techniques h...
Tariq Mahmood, Francesco Ricci