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» Bayesian multiscale analysis for time series data
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BMCBI
2007
215views more  BMCBI 2007»
14 years 9 months ago
Learning causal networks from systems biology time course data: an effective model selection procedure for the vector autoregres
Background: Causal networks based on the vector autoregressive (VAR) process are a promising statistical tool for modeling regulatory interactions in a cell. However, learning the...
Rainer Opgen-Rhein, Korbinian Strimmer
KDD
2006
ACM
115views Data Mining» more  KDD 2006»
15 years 10 months ago
Aggregating time partitions
Partitions of sequential data exist either per se or as a result of sequence segmentation algorithms. It is often the case that the same timeline is partitioned in many different ...
Evimaria Terzi, Panayiotis Tsaparas, Taneli Mielik...
90
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IJCAI
2007
14 years 11 months ago
Parametric Kernels for Sequence Data Analysis
A key challenge in applying kernel-based methods for discriminative learning is to identify a suitable kernel given a problem domain. Many methods instead transform the input data...
Young-In Shin, Donald S. Fussell
76
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WSC
1998
14 years 11 months ago
LABATCH.2: Software for Statistical Analysis of Simulation Sample Path Data
LABATCH.2 is a collection of computer programs available in C, FORTRAN, and SIMSCRIPT II.5 by anonymous ftp, at http://www.or.unc.edu/gfish/labatch.2.html. It performs statistical...
George S. Fishman
ICML
2004
IEEE
15 years 10 months ago
Large margin hierarchical classification
We present an algorithmic framework for supervised classification learning where the set of labels is organized in a predefined hierarchical structure. This structure is encoded b...
Ofer Dekel, Joseph Keshet, Yoram Singer