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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
NETCOOP
2007
Springer
16 years 20 days ago
Load Shared Sequential Routing in MPLS Networks: System and User Optimal Solutions
Recently Gerald Ash has shown through case studies that event dependent routing is attractive in large scale multi-service MPLS networks. In this paper, we consider the application...
Gilles Brunet, Fariba Heidari, Lorne Mason
NN
2006
Springer
114views Neural Networks» more  NN 2006»
15 years 6 months ago
Modular learning models in forecasting natural phenomena
Modular model is a particular type of committee machine and is comprised of a set of specialized (local) models each of which is responsible for a particular region of the input s...
Dimitri P. Solomatine, Michael Baskara L. A. Siek
AIHC
2007
Springer
16 years 22 days ago
Human Computing and Machine Understanding of Human Behavior: A Survey
A widely accepted prediction is that computing will move to the background, weaving itself into the fabric of our everyday living spaces and projecting the human user into the for...
Maja Pantic, Alex Pentland, Anton Nijholt, Thomas ...
LREC
2010
158views Education» more  LREC 2010»
15 years 8 months ago
Evaluating Human-Machine Conversation for Appropriateness
Evaluation of complex, collaborative dialogue systems is a difficult task. Traditionally, developers have relied upon subjective feedback from the user, and parametrisation over o...
Nick Webb, David Benyon, Preben Hansen, Oli Mival