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NIPS
2003
13 years 9 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»
13 years 9 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
LLC
2011
167views more  LLC 2011»
13 years 3 months ago
Computational Phonology - Part II: Grammars, Learning, and the Future
Computational phonology studies sound patterns in the world’s languages from a computational perspective. This article shows that the similarities between different generative t...
Jeffrey Heinz
ICML
1999
IEEE
14 years 9 months ago
Simple DFA are Polynomially Probably Exactly Learnable from Simple Examples
E cient learning of DFA is a challenging research problem in grammatical inference. Both exact and approximate (in the PAC sense) identi ability of DFA from examples is known to b...
Rajesh Parekh, Vasant Honavar
ECTEL
2009
Springer
14 years 2 months ago
Assessing Collaboration Quality in Synchronous CSCL Problem-Solving Activities: Adaptation and Empirical Evaluation of a Rating
The work described is part of an ongoing interdisciplinary collaboration between two research teams of the University of Patras, Greece and the University of Freiburg, Germany, whi...
Georgios Kahrimanis, Anne Meier, Irene-Angelica Ch...