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JCSS
2010
105views more  JCSS 2010»
15 years 1 months ago
Fast convolution and Fast Fourier Transform under interval and fuzzy uncertainty
Convolution y(t) = a(t − s) · x(s) ds is one of the main techniques in digital signal processing. A straightforward computation of the convolution y(t) requires O(n2) steps, wh...
Guoqing Liu, Vladik Kreinovich
178
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QEST
2010
IEEE
15 years 1 months ago
Reasoning about MDPs as Transformers of Probability Distributions
We consider Markov Decision Processes (MDPs) as transformers on probability distributions, where with respect to a scheduler that resolves nondeterminism, the MDP can be seen as ex...
Vijay Anand Korthikanti, Mahesh Viswanathan, Gul A...
ICMCS
2009
IEEE
151views Multimedia» more  ICMCS 2009»
15 years 1 months ago
High accuracy and language independent document retrieval with a Fast Invariant Transform
This paper presents a tool and a novel Fast Invariant Transform (FIT) algorithm for language independent e-documents access. The tool enables a person to access an e-document thro...
Qiong Liu, Hironori Yano, Don Kimber, Chunyuan Lia...
DKE
2011
251views Education» more  DKE 2011»
14 years 10 months ago
Generating operation specifications from UML class diagrams: A model transformation approach
One of the more tedious and complex tasks during the specification of conceptual schemas (CSs) is modeling the operations that define the system behavior. This paper aims to simpl...
Manoli Albert, Jordi Cabot, Cristina Gómez,...
163
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ESOP
2011
Springer
14 years 7 months ago
Measure Transformer Semantics for Bayesian Machine Learning
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
Johannes Borgström, Andrew D. Gordon, Michael...