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ML
2010
ACM
138views Machine Learning» more  ML 2010»
14 years 4 months ago
Mining adversarial patterns via regularized loss minimization
Traditional classification methods assume that the training and the test data arise from the same underlying distribution. However, in several adversarial settings, the test set is...
Wei Liu, Sanjay Chawla
ROMAN
2007
IEEE
150views Robotics» more  ROMAN 2007»
15 years 4 months ago
Asymmetric Interpretations of Positive and Negative Human Feedback for a Social Learning Agent
— The ability for people to interact with robots and teach them new skills will be crucial to the successful application of robots in everyday human environments. In order to des...
Andrea Lockerd Thomaz, Cynthia Breazeal
SIAMJO
2008
104views more  SIAMJO 2008»
14 years 10 months ago
A Minimax Theorem with Applications to Machine Learning, Signal Processing, and Finance
This paper concerns a fractional function of the form xT a/ xT Bx, where B is positive definite. We consider the game of choosing x from a convex set, to maximize the function, an...
Seung-Jean Kim, Stephen P. Boyd
AIED
2005
Springer
15 years 3 months ago
Modelling Learning in an Educational Game
We describe research on data-drive refinement and evaluation of a probabilistic model of student learning for an educational game on number factorization. The model is to be used b...
Micheline Manske, Cristina Conati
106
Voted
ATAL
2007
Springer
15 years 4 months ago
Reinforcement learning in extensive form games with incomplete information: the bargaining case study
We consider the problem of finding optimal strategies in infinite extensive form games with incomplete information that are repeatedly played. This problem is still open in lite...
Alessandro Lazaric, Jose Enrique Munoz de Cote, Ni...