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ICANN
2003
Springer
14 years 4 months ago
Learning Rule Representations from Boolean Data
We discuss a Probably Approximate Correct (PAC) learning paradigm for Boolean formulas, which we call PAC meditation, where the class of formulas to be learnt is not known in advan...
Bruno Apolloni, Andrea Brega, Dario Malchiodi, Gio...
ICML
2010
IEEE
13 years 8 months ago
Approximate Predictive Representations of Partially Observable Systems
We provide a novel view of learning an approximate model of a partially observable environment from data and present a simple implemenf the idea. The learned model abstracts away ...
Monica Dinculescu, Doina Precup
IV
2005
IEEE
101views Visualization» more  IV 2005»
14 years 4 months ago
Generation of Graphical Representations of Student Tracking Data in Course Management Systems
An approach of employing Information Visualisation to develop systems that facilitate instructors in web-based distance learning is presented here. The paper describes a tool, cal...
Riccardo Mazza, Vania Dimitrova
IADIS
2004
14 years 8 days ago
Memory inspector: a data representation tutorial
This paper describes Memory Inspector, an interactive web-based tutorial on data storage types and an alternative method for teaching these concepts. Memory Inspector was designed...
Joaquin Vila, Barbara Beccue
EXPERT
1998
83views more  EXPERT 1998»
13 years 10 months ago
Data-Driven Constructive Induction
Constructive induction divides the problem of learning an inductive hypothesis into two intertwined searches: one—for the “best” representation space, and two—for the “be...
Eric Bloedorn, Ryszard S. Michalski