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IJCNN
2007
IEEE
14 years 11 days ago
Agnostic Learning versus Prior Knowledge in the Design of Kernel Machines
Abstract— The optimal model parameters of a kernel machine are typically given by the solution of a convex optimisation problem with a single global optimum. Obtaining the best p...
Gavin C. Cawley, Nicola L. C. Talbot
ICCS
2009
Springer
14 years 18 days ago
Distinguishing Answers in Conceptual Graph Knowledge Bases
Abstract. In knowledge bases, the open world assumption and the ability to express variables may lead to an answer redundancy problem. This problem occurs when the returned answers...
Nicolas Moreau, Michel Leclère, Madalina Cr...
JMLR
2006
169views more  JMLR 2006»
13 years 6 months ago
Bayesian Network Learning with Parameter Constraints
The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...
Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat ...
CGF
2011
12 years 9 months ago
GeoBrush: Interactive Mesh Geometry Cloning
We propose a method for interactive cloning of 3D surface geometry using a paintbrush interface, similar to the continuous cloning brush popular in image editing. Existing interac...
Kenshi Takayama, Ryan Schmidt, Karan Singh, Takeo ...
ECCV
2002
Springer
14 years 8 months ago
Hyperdynamics Importance Sampling
Sequential random sampling (`Markov Chain Monte-Carlo') is a popular strategy for many vision problems involving multimodal distributions over high-dimensional parameter spac...
Cristian Sminchisescu, Bill Triggs