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» On Learning from Exercises
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PRL
2008
91views more  PRL 2008»
15 years 4 months ago
Fuzzy relevance vector machine for learning from unbalanced data and noise
Handing unbalanced data and noise are two important issues in the field of machine learning. This paper proposed a complete framework of fuzzy relevance vector machine by weightin...
Dingfang Li, Wenchao Hu, Wei Xiong, Jin-Bo Yang
CIARP
2009
Springer
15 years 11 months ago
Learning Relational Grammars from Sequences of Actions
Many tasks can be described by sequences of actions that normally exhibit some form of structure and that can be represented by a grammar. This paper introduces FOSeq, an algorithm...
Blanca Vargas-Govea, Eduardo F. Morales
FECS
2006
152views Education» more  FECS 2006»
15 years 5 months ago
Lessons Learned From Different Types of Projects in Software Engineering
Educators teaching software engineering face a large problem when trying to assign "real world" projects. Should the instructors make up "real world" projects ...
Jennifer A. Polack-Wahl
170
Voted
CVPR
2011
IEEE
14 years 8 months ago
Learning People Detection Models from Few Training Samples
People detection is an important task for a wide range of applications in computer vision. State-of-the-art methods learn appearance based models requiring tedious collection and ...
Leonid Pishchulin, Christian Wojek, Arjun Jain, Th...
CSCW
2004
ACM
15 years 10 months ago
Learning from project history: a case study for software development
The lack of lightweight communication channels and other technical and sociological difficulties make it hard for new members of a non-collocated software development team to lea...
Davor Cubranic, Gail C. Murphy, Janice Singer, Kel...