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» Hierarchical Mixture Models for Nested Data Structures
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ASM
2000
ASM
15 years 7 months ago
Modeling the Dynamics of UML State Machines
We define the dynamic semantics of UML State Machines which integrate statecharts with the UML object model. The use of ASMs allows us (a) to rigorously model the event driven run...
Egon Börger, Alessandra Cavarra, Elvinia Ricc...
CORR
2010
Springer
183views Education» more  CORR 2010»
15 years 2 months ago
Discovering shared and individual latent structure in multiple time series
This paper proposes a nonparametric Bayesian method for exploratory data analysis and feature construction in continuous time series. Our method focuses on understanding shared fe...
Suchi Saria, Daphne Koller, Anna Penn
126
Voted
SSD
2007
Springer
124views Database» more  SSD 2007»
15 years 9 months ago
Querying Objects Modeled by Arbitrary Probability Distributions
In many modern applications such as biometric identification systems, sensor networks, medical imaging, geology, and multimedia databases, the data objects are not described exact...
Christian Böhm, Peter Kunath, Alexey Pryakhin...
130
Voted
WABI
2007
Springer
110views Bioinformatics» more  WABI 2007»
15 years 9 months ago
Haplotype Inference Via Hierarchical Genotype Parsing
The within-species genetic variation due to recombinations leads to a mosaic-like structure of DNA. This structure can be modeled, e.g. by parsing sample sequences of current DNA w...
Pasi Rastas, Esko Ukkonen
128
Voted
ICDM
2003
IEEE
104views Data Mining» more  ICDM 2003»
15 years 8 months ago
Localized Prediction of Continuous Target Variables Using Hierarchical Clustering
In this paper, we propose a novel technique for the efficient prediction of multiple continuous target variables from high-dimensional and heterogeneous data sets using a hierarch...
Aleksandar Lazarevic, Ramdev Kanapady, Chandrika K...