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201
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ICDM
2006
IEEE
164views Data Mining» more  ICDM 2006»
16 years 27 days ago
Unsupervised Learning of Tree Alignment Models for Information Extraction
We propose an algorithm for extracting fields from HTML search results. The output of the algorithm is a database table– a data structure that better lends itself to high-level...
Philip Zigoris, Damian Eads, Yi Zhang
170
Voted
AUSAI
2005
Springer
16 years 12 days ago
Global Versus Local Constructive Function Approximation for On-Line Reinforcement Learning
: In order to scale to problems with large or continuous state-spaces, reinforcement learning algorithms need to be combined with function approximation techniques. The majority of...
Peter Vamplew, Robert Ollington
CHARME
2005
Springer
176views Hardware» more  CHARME 2005»
16 years 12 days ago
An Analysis of SAT-Based Model Checking Techniques in an Industrial Environment
Abstract. Model checking is a formal technique for automatically verifying that a finite-state model satisfies a temporal property. In model checking, generally Binary Decision D...
Nina Amla, Xiaoqun Du, Andreas Kuehlmann, Robert P...
174
Voted
ECML
2004
Springer
16 years 7 days ago
Applying Support Vector Machines to Imbalanced Datasets
Support Vector Machines (SVM) have been extensively studied and have shown remarkable success in many applications. However the success of SVM is very limited when it is applied to...
Rehan Akbani, Stephen Kwek, Nathalie Japkowicz
KES
2004
Springer
16 years 6 days ago
Epistemic Logic and Planning
Artificial Intelligence algorithms can be divided into two groups according to the type of problems they solve. Knowledge-intensive domains contain explicit knowledge, whereas know...
Shahin Maghsoudi, Ian Watson