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ICML
2001
IEEE
16 years 7 months ago
Constrained K-means Clustering with Background Knowledge
Clustering is traditionally viewed as an unsupervised method for data analysis. However, in some cases information about the problem domain is available in addition to the data in...
Kiri Wagstaff, Claire Cardie, Seth Rogers, Stefan ...
IROS
2007
IEEE
148views Robotics» more  IROS 2007»
16 years 27 days ago
Tractable probabilistic models for intention recognition based on expert knowledge
— Intention recognition is an important topic in human-robot cooperation that can be tackled using probabilistic model-based methods. A popular instance of such methods are Bayes...
Oliver C. Schrempf, David Albrecht, Uwe D. Hanebec...
ROBOCUP
2005
Springer
115views Robotics» more  ROBOCUP 2005»
16 years 2 days ago
3D Mapping with Semantic Knowledge
Abstract. A basic task of rescue robot systems is mapping of the environment. Localizing injured persons, guiding rescue workers and excavation equipment requires a precise 3D map ...
Andreas Nüchter, Oliver Wulf, Kai Lingemann, ...
CANDT
2009
15 years 10 months ago
Measuring self-focus bias in community-maintained knowledge repositories
Self-focus is a novel way of understanding a type of bias in community-maintained Web 2.0 graph structures. It goes beyond previous measures of topical coverage bias by encapsulat...
Brent Hecht, Darren Gergle
ICML
1991
IEEE
15 years 10 months ago
Constructive Induction in Knowledge-Based Neural Networks
Artificial neural networks have proven to be a successful, general method for inductive learning from examples. However, they have not often been viewed in terms of constructive ...
Geoffrey G. Towell, Mark Craven, Jude W. Shavlik