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ADMA
2006
Springer
110views Data Mining» more  ADMA 2006»
15 years 8 months ago
Learning with Local Drift Detection
Abstract. Most of the work in Machine Learning assume that examples are generated at random according to some stationary probability distribution. In this work we study the problem...
João Gama, Gladys Castillo
CAV
2004
Springer
130views Hardware» more  CAV 2004»
15 years 8 months ago
Global Model-Checking of Infinite-State Systems
Abstract. We extend the automata-theoretic framework for reasoning about infinitestate sequential systems to handle also the global model-checking problem. Our framework is based o...
Nir Piterman, Moshe Y. Vardi
ECML
2006
Springer
15 years 8 months ago
Approximate Policy Iteration for Closed-Loop Learning of Visual Tasks
Abstract. Approximate Policy Iteration (API) is a reinforcement learning paradigm that is able to solve high-dimensional, continuous control problems. We propose to exploit API for...
Sébastien Jodogne, Cyril Briquet, Justus H....
CSDA
2008
120views more  CSDA 2008»
15 years 5 months ago
Tree-structured smooth transition regression models
ABSTRACT. This paper introduces a tree-based model that combines aspects of CART (Classification and Regression Trees) and STR (Smooth Transition Regression). The model is called t...
Joel Corrêa da Rosa, Alvaro Veiga, Marcelo C...
JIIS
2000
120views more  JIIS 2000»
15 years 4 months ago
Machine Learning for Intelligent Processing of Printed Documents
Abstract. A paper document processing system is an information system component which transforms information on printed or handwritten documents into a computer-revisable form. In ...
Floriana Esposito, Donato Malerba, Francesca A. Li...