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ICMLA
2009
13 years 6 months ago
Automatic Feature Selection for Model-Based Reinforcement Learning in Factored MDPs
Abstract--Feature selection is an important challenge in machine learning. Unfortunately, most methods for automating feature selection are designed for supervised learning tasks a...
Mark Kroon, Shimon Whiteson
EPIA
2007
Springer
14 years 22 days ago
Automatic Extraction of Definitions in Portuguese: A Rule-Based Approach
In this paper we present a rule-based system for automatic extraction of definitions from Portuguese texts. As input, this system takes text that is previously annotated with morph...
Rosa Del Gaudio, António Branco
IWPC
2000
IEEE
14 years 1 months ago
The Effect of Call Graph Construction Algorithms for Object-Oriented Programs on Automatic Clustering
Call graphs are commonly used as input for automatic clustering algorithms, the goal of which is to extract the high level structure of the program under study. Determining the ca...
Derek Rayside, Steve Reuss, Erik Hedges, Kostas Ko...
ENTCS
2006
153views more  ENTCS 2006»
13 years 8 months ago
Automatic Complexity Analysis for Programs Extracted from Coq Proof
We describe an automatic complexity analysis mechanism for programs extracted from proofs carried out with the proof assistant Coq. By extraction, we mean the automatic generation...
Jean-Pierre Jouannaud, Weiwen Xu
IPPS
2005
IEEE
14 years 2 months ago
A Compiler and Runtime Infrastructure for Automatic Program Distribution
This paper presents the design and the implementation of a compiler and runtime infrastructure for automatic program distribution. We are building a research infrastructure that e...
Roxana Diaconescu, Lei Wang, Zachary Mouri, Matt C...