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JCST
2006
128views more  JCST 2006»
13 years 7 months ago
Multi-Instance Learning from Supervised View
Abstract In multi-instance learning, the training set comprises labeled bags that are composed of unlabeled instances, and the task is to predict the labels of unseen bags. This pa...
Zhi-Hua Zhou
ECML
1991
Springer
13 years 11 months ago
A Multistrategy Learning Approach to Domain Modeling and Knowledge Acquisition
This paper presents an approach to domain modeling and knowledge acquisition that consists of a gradual and goal-driven improvement of an incomplete domain model provided by a hum...
Gheorghe Tecuci
CORR
2012
Springer
170views Education» more  CORR 2012»
12 years 3 months ago
What Cannot be Learned with Bethe Approximations
We address the problem of learning the parameters in graphical models when inference is intractable. A common strategy in this case is to replace the partition function with its B...
Uri Heinemann, Amir Globerson
CP
2004
Springer
14 years 1 months ago
Decomposition and Learning for a Hard Real Time Task Allocation Problem
Abstract. We present a cooperation technique using an accurate management of nogoods to solve a hard real-time problem which consists in assigning periodic tasks to processors in t...
Hadrien Cambazard, Pierre-Emmanuel Hladik, Anne-Ma...
CRIWG
2006
13 years 9 months ago
Polyphonic Support for Collaborative Learning
This paper argues that one reason for the success of collaborative problem solving where individual attempts failed is the polyphonic character of work in small groups. Polyphony, ...
Stefan Trausan-Matu, Gerry Stahl, Johann W. Sarmie...