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DMIN
2009
132views Data Mining» more  DMIN 2009»
14 years 9 months ago
Understanding Support Vector Machine Classifications via a Recommender System-Like Approach
Support vector machines are a valuable tool for making classifications, but their black-box nature means that they lack the natural explanatory value that many other classifiers po...
David Barbella, Sami Benzaid, Janara M. Christense...
88
Voted
CSCW
2000
ACM
15 years 4 months ago
Supporting collaborative interpretation in distributed Groupware
Collaborative interpretation occurs when a group interprets and transforms a diverse set of information fragments into a coherent set of meaningful descriptions. This activity is ...
Donald Cox, Saul Greenberg
XPU
2005
Springer
15 years 5 months ago
An Eclipse Plugin to Support Agile Reuse
Reuse in an Agile context is largely an unexplored research topic. On the surface, these two software engineering techniques would appear to be incompatible due to contradictory pr...
Frank McCarey, Mel Ó Cinnéide, Nicho...
ISBI
2008
IEEE
16 years 18 days ago
Support vector machine for data on manifolds: An application to image analysis
The Support Vector Machine (SVM) is a powerful tool for classification. We generalize SVM to work with data objects that are naturally understood to be lying on curved manifolds, ...
Suman K. Sen, Mark Foskey, James Stephen Marron, M...
IROS
2006
IEEE
131views Robotics» more  IROS 2006»
15 years 6 months ago
Support Vector Path Planning
— This paper describes a unique approach of applying a pattern classification technique to robot path planning. A collision-free path connecting a start and a goal point provide...
Jun Miura