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» A Simple Abstraction for Data Modeling
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ESOP
2011
Springer
14 years 10 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...
ICDE
2010
IEEE
322views Database» more  ICDE 2010»
16 years 6 months ago
XML-Based Computation for Scientific Workflows
Scientific workflows are increasingly used for rapid integration of existing algorithms to form larger and more comgrams. Such workflows promise to provide more abstract, yet execu...
Bertram Ludäscher, Daniel Zinn, Shawn Bowers
EDBT
2006
ACM
179views Database» more  EDBT 2006»
16 years 6 months ago
TrajPattern: Mining Sequential Patterns from Imprecise Trajectories of Mobile Objects
Abstract. Mobile objects have become ubiquitous in our everyday lives, ranging from cellular phones to sensors, therefore, analyzing and mining mobile data becomes an interesting p...
Jiong Yang, Meng Hu
IDA
2009
Springer
15 years 4 months ago
Hierarchical Extraction of Independent Subspaces of Unknown Dimensions
Abstract. Independent Subspace Analysis (ISA) is an extension of Independent Component Analysis (ICA) that aims to linearly transform a random vector such as to render groups of it...
Peter Gruber, Harold W. Gutch, Fabian J. Theis
COST
2010
Springer
194views Multimedia» more  COST 2010»
15 years 1 months ago
The MultiLis Corpus - Dealing with Individual Differences in Nonverbal Listening Behavior
Abstract. Computational models that attempt to predict when a virtual human should backchannel are often based on the analysis of recordings of face-to-face conversations between h...
Iwan de Kok, Dirk Heylen