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AGENTS
2001
Springer
15 years 10 months ago
Collaborative multiagent learning for classification tasks
Multiagent learning di ers from standard machine learning in that most existing learning methods assume that all knowledge is available locally in a single agent. In multiagent sy...
Pragnesh Jay Modi, Wei-Min Shen
VECPAR
2000
Springer
15 years 10 months ago
A Parallel Implementation of an Interior-Point Algorithm for Multicommodity Network Flows
A parallel implementation of the specialized interior-point algorithm for multicommodity network flows introduced in [5] is presented. In this algorithm, the positive definite syst...
Jordi Castro, Antonio Frangioni
ISSS
1995
IEEE
109views Hardware» more  ISSS 1995»
15 years 10 months ago
1995 high level synthesis design repository
In this paper we brie y describe a set of designs that can serve as examples for High Level Synthesis (HLS) systems. The designs vary in complexity from simple behavioral nite st...
Preeti Ranjan Panda, Nikil D. Dutt
KDD
1995
ACM
139views Data Mining» more  KDD 1995»
15 years 10 months ago
Extracting Support Data for a Given Task
We report a novel possibility for extracting a small subset of a data base which contains all the information necessary to solve a given classification task: using the Support Vec...
Bernhard Schölkopf, Chris Burges, Vladimir Va...
AAAI
2008
15 years 8 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