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IJCNN
2000
IEEE
15 years 8 months ago
A 2D Neuromorphic VLSI Architecture for Modeling Selective Attention
Selectiveattentionis a mechanismsused to sequentiallyselectthe spatiallocationsof salientregionsin the sensor’sfieldof view. This mechanism overcomesthe problem of flooding limi...
Giacomo Indiveri
ECML
2006
Springer
15 years 7 months ago
Transductive Gaussian Process Regression with Automatic Model Selection
Abstract. In contrast to the standard inductive inference setting of predictive machine learning, in real world learning problems often the test instances are already available at ...
Quoc V. Le, Alexander J. Smola, Thomas Gärtne...
134
Voted
NLE
2010
112views more  NLE 2010»
15 years 2 months ago
A non-negative tensor factorization model for selectional preference induction
Distributional similarity methods have proven to be a valuable tool for the induction of semantic similarity. Up till now, most algorithms use two-way cooccurrence data to compute...
Tim Van de Cruys
158
Voted
IMCSIT
2010
15 years 1 months ago
Modelling, Optimization and Execution of Workflow Applications with Data Distribution, Service Selection and Budget Constraints
Abstract--The paper proposes a model which allows integration of services published by independent providers into scientific or business workflows. Optimization algorithms are prop...
Pawel Czarnul
AOSE
2008
Springer
15 years 6 months ago
A MAS Metamodel-Driven Approach to Process Fragments Selection
The construction of ad-hoc design processes is more and more required today. In this paper we present our approach for the construction of a new design process following the Situat...
Massimo Cossentino, Salvatore Gaglio, Stéph...