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SAT
2010
Springer
136views Hardware» more  SAT 2010»
15 years 1 months ago
A Non-prenex, Non-clausal QBF Solver with Game-State Learning
Abstract. We describe a DPLL-based solver for the problem of quantified boolean formulas (QBF) in non-prenex, non-CNF form. We make two contributions. First, we reformulate clause...
William Klieber, Samir Sapra, Sicun Gao, Edmund M....
AIEDU
2005
98views more  AIEDU 2005»
14 years 9 months ago
The Andes Physics Tutoring System: Lessons Learned
The Andes system is a mature intelligent tutoring system that has helped hundreds of students improve their learning of university physics. It replaces pencil and paper problem so...
Kurt VanLehn, Collin Lynch, Kay G. Schulze, Joel A...
CCGRID
2005
IEEE
15 years 3 months ago
Enabling technologies for future learning scenarios: the semantic grid for human learning
In this paper, starting from the limitations and constrains of traditional human learning approaches, we outline new suitable approaches to education and training in future knowle...
Angelo Gaeta, Pierluigi Ritrovato, Francesco Orciu...
NIPS
2003
14 years 11 months ago
Can We Learn to Beat the Best Stock
A novel algorithm for actively trading stocks is presented. While traditional universal algorithms (and technical trading heuristics) attempt to predict winners or trends, our app...
Allan Borodin, Ran El-Yaniv, Vincent Gogan
SODA
2000
ACM
85views Algorithms» more  SODA 2000»
14 years 11 months ago
Improved bounds on the sample complexity of learning
We present a new general upper bound on the number of examples required to estimate all of the expectations of a set of random variables uniformly well. The quality of the estimat...
Yi Li, Philip M. Long, Aravind Srinivasan