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» A Framework for Multiple-Instance Learning
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CORR
2010
Springer
153views Education» more  CORR 2010»
13 years 8 months ago
GraphLab: A New Framework for Parallel Machine Learning
Designing and implementing efficient, provably correct parallel machine learning (ML) algorithms is challenging. Existing high-level parallel abstractions like MapReduce are insuf...
Yucheng Low, Joseph Gonzalez, Aapo Kyrola, Danny B...
INFSOF
2008
90views more  INFSOF 2008»
13 years 7 months ago
JADE: A software framework for developing multi-agent applications. Lessons learned
Since a number of years agent technology is considered one of the most innovative technologies for the development of distributed software systems. While not yet a mainstream appr...
Fabio Bellifemine, Giovanni Caire, Agostino Poggi,...
CN
2006
163views more  CN 2006»
13 years 7 months ago
A framework for mining evolving trends in Web data streams using dynamic learning and retrospective validation
The expanding and dynamic nature of the Web poses enormous challenges to most data mining techniques that try to extract patterns from Web data, such as Web usage and Web content....
Olfa Nasraoui, Carlos Rojas, Cesar Cardona
AUSDM
2007
Springer
102views Data Mining» more  AUSDM 2007»
14 years 2 months ago
Determining Termhood for Learning Domain Ontologies in a Probabilistic Framework
Many existing techniques for term extraction are heuristically-motivated and criticised as ad-hoc. The definitions and assumptions critical to set the boundary for the effective...
Wilson Wong, Wei Liu, Mohammed Bennamoun
ICIAP
2009
ACM
14 years 2 months ago
Towards a Theoretical Framework for Learning Multi-modal Patterns for Embodied Agents
Multi-modality is a fundamental feature that characterizes biological systems and lets them achieve high robustness in understanding skills while coping with uncertainty. Relativel...
Nicoletta Noceti, Barbara Caputo, Claudio Castelli...