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NIPS
2007
15 years 5 months ago
Active Preference Learning with Discrete Choice Data
We propose an active learning algorithm that learns a continuous valuation model from discrete preferences. The algorithm automatically decides what items are best presented to an...
Eric Brochu, Nando de Freitas, Abhijeet Ghosh
AAAI
1994
15 years 5 months ago
Activity Analysis: The Qualitative Analysis of Stationary Points for Optimal Reasoning
We present a theory of a modeler's problem decomposition skills in the context of optimal reasonzng -- the use of qualitative modeling to strategically guide numerical explor...
Brian C. Williams, Jonathan Cagan
ICRA
2008
IEEE
204views Robotics» more  ICRA 2008»
15 years 10 months ago
Active exploration and keypoint clustering for object recognition
— Object recognition is a challenging problem for artificial systems. This is especially true for objects that are placed in cluttered and uncontrolled environments. To challenge...
Gert Kootstra, Jelmer Ypma, Bart de Boer
SEKE
2004
Springer
15 years 9 months ago
Grammatically Interpreting Feature Compositions
Feature modeling is a popular domain analysis method for describing the commonality and variability among the domain products. The current formalisms of feature modelling do not ha...
Wei Zhao, Barrett R. Bryant, Fei Cao, Rajeev R. Ra...
RE
2010
Springer
14 years 11 months ago
Feature Unweaving: Refactoring Software Requirements Specifications into Software Product Lines
The design of the variability of a software product line is crucial to its success and evolution. Meaningful variable features need to be elicited, analyzed, documented and validat...
Reinhard Stoiber, Samuel Fricker, Michael Jehle, M...