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IJCAI
2007
15 years 8 months ago
Tractable Temporal Reasoning
Temporal reasoning is widely used within both Computer Science and A.I. However, the underlying complexity of temporal proof in discrete temporal logics has led to the use of simp...
Clare Dixon, Michael Fisher, Boris Konev
NIPS
2007
15 years 8 months ago
Contraction Properties of VLSI Cooperative Competitive Neural Networks of Spiking Neurons
A non–linear dynamic system is called contracting if initial conditions are forgotten exponentially fast, so that all trajectories converge to a single trajectory. We use contra...
Emre Neftci, Elisabetta Chicca, Giacomo Indiveri, ...
AAAI
2006
15 years 8 months ago
A Direct Evolutionary Feature Extraction Algorithm for Classifying High Dimensional Data
Among various feature extraction algorithms, those based on genetic algorithms are promising owing to their potential parallelizability and possible applications in large scale an...
Qijun Zhao, David Zhang, Hongtao Lu
HIS
2004
15 years 8 months ago
Adaptive Boosting with Leader based Learners for Classification of Large Handwritten Data
Boosting is a general method for improving the accuracy of a learning algorithm. AdaBoost, short form for Adaptive Boosting method, consists of repeated use of a weak or a base le...
T. Ravindra Babu, M. Narasimha Murty, Vijay K. Agr...
SEBD
2001
145views Database» more  SEBD 2001»
15 years 8 months ago
Reasoning over Conceptual Schemas and Queries in Temporal Databases
This paper introduces a new logical formalism, intended for temporal conceptual modelling, as a natural combination of the well-known description logic DLR and point-based linear ...
Alessandro Artale, Enrico Franconi, Milenko Mosuro...