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NPL
2006
85views more  NPL 2006»
15 years 22 days ago
A Neural Model for Context-dependent Sequence Learning
A novel neural network model is described that implements context-dependent learning of complex sequences. The model utilises leaky integrate-and-fire neurons to extract timing inf...
Luc Berthouze, Adriaan G. Tijsseling
143
Voted
HAIS
2010
Springer
14 years 10 months ago
Reducing Dimensionality in Multiple Instance Learning with a Filter Method
In this article, we describe a feature selection algorithm which can automatically find relevant features for multiple instance learning. Multiple instance learning is considered a...
Amelia Zafra, Mykola Pechenizkiy, Sebastián...
125
Voted
JAIR
2008
157views more  JAIR 2008»
15 years 24 days ago
Learning to Reach Agreement in a Continuous Ultimatum Game
It is well-known that acting in an individually rational manner, according to the principles of classical game theory, may lead to sub-optimal solutions in a class of problems nam...
Steven de Jong, Simon Uyttendaele, Karl Tuyls
94
Voted
FOSSACS
2010
Springer
15 years 7 months ago
On the Relationship between Spatial Logics and Behavioral Simulations
Abstract. Spatial logics have been introduced to reason about distributed computation in models for concurrency. We first define a spatial logic for a general class of infinite-...
Lucia Acciai, Michele Boreale, Gianluigi Zavattaro
84
Voted
GLVLSI
2005
IEEE
110views VLSI» more  GLVLSI 2005»
15 years 6 months ago
QCA channel routing with wire crossing minimization
Quantum-dot Cellular Automata (QCA) is a novel computing mechanism that can represent binary information based on spatial distribution of electron charge configuration in chemica...
Brian Stephen Smith, Sung Kyu Lim