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» Depth-based inference for functional data
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SP
2008
IEEE
159views Security Privacy» more  SP 2008»
13 years 6 months ago
Inferring neuronal network connectivity from spike data: A temporal data mining approach
Abstract. Understanding the functioning of a neural system in terms of its underlying circuitry is an important problem in neuroscience. Recent developments in electrophysiology an...
Debprakash Patnaik, P. S. Sastry, K. P. Unnikrishn...
JMLR
2012
11 years 9 months ago
A Stick-Breaking Likelihood for Categorical Data Analysis with Latent Gaussian Models
The development of accurate models and efficient algorithms for the analysis of multivariate categorical data are important and longstanding problems in machine learning and compu...
Mohammad Emtiyaz Khan, Shakir Mohamed, Benjamin M....
ADBIS
2007
Springer
127views Database» more  ADBIS 2007»
14 years 27 days ago
Approximate Functional Dependencies for XML Data
Functional dependencies (FDs) are an integral part of database theory since they are used in integrity enforcement and in database design. Recently, functional dependencies satisï¬...
Fabio Fassetti, Bettina Fazzinga
JMLR
2010
186views more  JMLR 2010»
13 years 1 months ago
Dimensionality Estimation, Manifold Learning and Function Approximation using Tensor Voting
We address instance-based learning from a perceptual organization standpoint and present methods for dimensionality estimation, manifold learning and function approximation. Under...
Philippos Mordohai, Gérard G. Medioni
ICSOC
2009
Springer
13 years 4 months ago
An Initial Proposal for Data-Aware Resource Analysis of Orchestrations with Applications to Predictive Monitoring
Several activities in service oriented computing can benefit from knowing ahead of time future properties of a given service composition. In this paper we focus on how statically i...
Dragan Ivanovic, Manuel Carro, Manuel V. Hermenegi...