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EMMCVPR
2011
Springer
14 years 6 months ago
Multiple-Instance Learning with Structured Bag Models
Traditional approaches to Multiple-Instance Learning (MIL) operate under the assumption that the instances of a bag are generated independently, and therefore typically learn an in...
Jonathan Warrell, Philip H. S. Torr
EXPERT
2008
120views more  EXPERT 2008»
15 years 6 months ago
The CKC Challenge: Exploring Tools for Collaborative Knowledge Construction
The great success of Web 2.0 is mainly fuelled by an infrastructure that allows web users to create, share, tag, and connect content and knowledge easily. The tools for developing...
Natalya Fridman Noy, Abhita Chugh, Harith Alani
PVM
2009
Springer
16 years 27 days ago
Optimizing MPI Runtime Parameter Settings by Using Machine Learning
Abstract. Manually tuning MPI runtime parameters is a practice commonly employed to optimise MPI application performance on a specific architecture. However, the best setting for ...
Simone Pellegrini, Jie Wang, Thomas Fahringer, Han...
ECTEL
2007
Springer
16 years 16 days ago
Online Evaluation of Collaborative Learning Platforms
The paper presents a flexible framework for the online evaluation of collaborative project-oriented e-learning platforms. The framework was developed for the evaluation of the COOP...
Vlad Posea, Stefan Trausan-Matu, Valentin Cristea
ICANNGA
2007
Springer
105views Algorithms» more  ICANNGA 2007»
16 years 15 days ago
Reinforcement Learning in Fine Time Discretization
Reinforcement Learning (RL) is analyzed here as a tool for control system optimization. State and action spaces are assumed to be continuous. Time is assumed to be discrete, yet th...
Pawel Wawrzynski