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» Interpolant-Based Transition Relation Approximation
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ECML
2006
Springer
14 years 3 days ago
Deconvolutive Clustering of Markov States
In this paper we formulate the problem of grouping the states of a discrete Markov chain of arbitrary order simultaneously with deconvolving its transition probabilities. As the na...
Ata Kabán, Xin Wang
DAC
2000
ACM
14 years 9 months ago
To split or to conjoin: the question in image computation
Image computation is the key step in fixpoint computations that are extensively used in model checking. Two techniques have been used for this step: one based on conjunction of the...
In-Ho Moon, James H. Kukula, Kavita Ravi, Fabio So...
ICDM
2009
IEEE
155views Data Mining» more  ICDM 2009»
14 years 3 months ago
Stacked Gaussian Process Learning
—Triggered by a market relevant application that involves making joint predictions of pedestrian and public transit flows in urban areas, we address the question of how to utili...
Marion Neumann, Kristian Kersting, Zhao Xu, Daniel...
GLOBECOM
2007
IEEE
14 years 2 months ago
The Impacts of Radio Channels and Node Mobility on Link Statistics in Mobile Ad Hoc Networks
Abstract— Understanding link statistics in mobile ad hoc networks (MANETs) is essential to design adaptive routing protocols and achieve desired network performance. While much a...
Ming Zhao 0001, Wenye Wang
ISMIS
2000
Springer
14 years 11 hour ago
Design of Rough Neurons: Rough Set Foundation and Petri Net Model
This paper introduces the design of rough neurons based on rough sets. Rough neurons instantiate approximate reasoning in assessing knowledge gleaned from input data. Each neuron c...
James F. Peters, Andrzej Skowron, Zbigniew Suraj, ...