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INFORMS
2007
150views more  INFORMS 2007»
13 years 9 months ago
SSPMO: A Scatter Tabu Search Procedure for Non-Linear Multiobjective Optimization
— We describe the development and testing of a metaheuristic procedure, based on the scatter search methodology, for the problem of approximating the efficient frontier of nonlin...
Julián Molina Luque, Manuel Laguna, Rafael ...
CCGRID
2007
IEEE
14 years 3 months ago
A Semantic Approach to Enhance Service Composition in Workflows that use Mobile Services
The successful execution of workflows using mobile services is dependant on the services behaving as expected. The management of this behaviour in Akogrimo is achieved by a contex...
Robert B. Piotter, Tom Kirkham, Julian R. Gallop, ...
IUI
2010
ACM
14 years 6 months ago
Mobia Modeler: easing the creation process of mobile applications for non-technical users
The development of mobile applications has now extended from mobile network providers into the hands of ordinary people as organizations and companies encourage people to come up ...
Florence T. Balagtas-Fernandez, Max Tafelmayer, He...
AAAI
2008
13 years 11 months ago
Instance-level Semisupervised Multiple Instance Learning
Multiple instance learning (MIL) is a branch of machine learning that attempts to learn information from bags of instances. Many real-world applications such as localized content-...
Yangqing Jia, Changshui Zhang
NIPS
1998
13 years 10 months ago
Learning from Dyadic Data
Dyadic data refers to a domain with two nite sets of objects in which observations are made for dyads, i.e., pairs with one element from either set. This type of data arises natur...
Thomas Hofmann, Jan Puzicha, Michael I. Jordan