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ICTAI
2006
IEEE
15 years 3 months ago
Polynomial Regression with Automated Degree: A Function Approximator for Autonomous Agents
In order for an autonomous agent to behave robustly in a variety of environments, it must have the ability to learn approximations to many different functions. The function approx...
Daniel Stronger, Peter Stone
WIA
2005
Springer
15 years 3 months ago
Compressing XML Documents Using Recursive Finite State Automata
Abstract. We propose a scheme for automatically generating compressors for XML documents from Document Type Definition(DTD) specifications. Our algorithm is a lossless adaptive a...
Hariharan Subramanian, Priti Shankar
AMAI
2004
Springer
15 years 3 months ago
Using Automatic Case Splits and Efficient CNF Translation to Guide a SAT-solver when Formally Verifying Out-Of-Order Processors
The paper integrates automatically generated case-splitting expressions, and an efficient translation to CNF, in order to formally verify an out-of-order superscalar processor havi...
Miroslav N. Velev
ECAI
2004
Springer
15 years 3 months ago
Towards Efficient Learning of Neural Network Ensembles from Arbitrarily Large Datasets
Advances in data collection technologies allow accumulation of large and high dimensional datasets and provide opportunities for learning high quality classification and regression...
Kang Peng, Zoran Obradovic, Slobodan Vucetic
ICTAI
2003
IEEE
15 years 3 months ago
Approximate Discrete Probability Distribution Representation Using a Multi-Resolution Binary Tree
Computing and storing probabilities is a hard problem as soon as one has to deal with complex distributions over multiples random variables. The problem of efficient representati...
David Bellot, Pierre Bessière