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» On learning with dissimilarity functions
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ICANN
2005
Springer
16 years 9 days ago
A Hardware/Software Framework for Real-Time Spiking Systems
Abstract. One focus of recent research in the field of biologically plausible neural networks is the investigation of higher-level functions such as learning, development and modu...
Matthias Oster, Adrian M. Whatley, Shih-Chii Liu, ...
DAGM
2004
Springer
16 years 5 days ago
Predictive Discretization During Model Selection
We present an approach to discretizing multivariate continuous data while learning the structure of a graphical model. We derive the joint scoring function from the principle of p...
Harald Steck, Tommi Jaakkola
EUROGP
2003
Springer
16 years 1 hour ago
Evolving Finite State Transducers: Some Initial Explorations
Finite state transducers (FSTs) are finite state machines that map strings in a source domain into strings in a target domain. While there are many reports in the literature of ev...
Simon M. Lucas
FLAIRS
2007
15 years 9 months ago
Case-Based Recommendation of Node Ordering in Planning
Currently, among the fastest approaches to AI task planning we find many forward-chaining heuristic planners, as FF. Most of their good performance comes from the use of domain-i...
Tomás de la Rosa, Angel García Olaya...
ECAI
2008
Springer
15 years 8 months ago
From Belief Change to Preference Change
Various tasks need to consider preferences in a dynamic way. We start by discussing several possible meanings of preference change, and then focus on the one we think is the most n...
Jérôme Lang, Leendert van der Torre