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NIPS
2007
15 years 8 months ago
Regularized Boost for Semi-Supervised Learning
Semi-supervised inductive learning concerns how to learn a decision rule from a data set containing both labeled and unlabeled data. Several boosting algorithms have been extended...
Ke Chen 0001, Shihai Wang
ICRA
2010
IEEE
134views Robotics» more  ICRA 2010»
15 years 5 months ago
Peer-to-peer control architecture for multiuser haptic collaboration over undirected delayed packet-switching network
— We propose a novel peer-to-peer distributed control architecture for shared haptic collaboration among remotely-located users over undirected packet-switching network (e.g. Int...
Dongjun Lee, Ke Huang
SIROCCO
2007
15 years 8 months ago
Local Edge Colouring of Yao-Like Subgraphs of Unit Disk Graphs
The focus of the present paper is on providing a local deterministic algorithm for colouring the edges of Yao-like subgraphs of Unit Disc Graphs. These are geometric graphs such t...
Jurek Czyzowicz, Stefan Dobrev, Evangelos Kranakis...
LION
2010
Springer
188views Optimization» more  LION 2010»
15 years 11 months ago
Grapheur: A Software Architecture for Reactive and Interactive Optimization
Abstract This paper proposes a flexible software architecture for interactive multiobjective optimization, with a user interface for visualizing the results and facilitating the s...
Mauro Brunato, Roberto Battiti
DYNAMO
2000
74views more  DYNAMO 2000»
15 years 8 months ago
A framework for remote dynamic program optimization
Dynamic program optimization allows programs to be generated that are highly tuned for a given environment and input data set. Optimization techniques can be applied and re-applie...
Michael Voss, Rudolf Eigenmann