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TSP
2008
167views more  TSP 2008»
10 years 2 months ago
Multi-Task Learning for Analyzing and Sorting Large Databases of Sequential Data
A new hierarchical nonparametric Bayesian framework is proposed for the problem of multi-task learning (MTL) with sequential data. The models for multiple tasks, each characterize...
Kai Ni, John William Paisley, Lawrence Carin, Davi...
DAGM
2006
Springer
10 years 8 months ago
Efficient Algorithms for Similarity Measures over Sequential Data: A Look Beyond Kernels
Kernel functions as similarity measures for sequential data have been extensively studied in previous research. This contribution addresses the efficient computation of distance fu...
Konrad Rieck, Pavel Laskov, Klaus-Robert Müll...
ADBIS
1999
Springer
104views Database» more  ADBIS 1999»
10 years 8 months ago
Mining Various Patterns in Sequential Data in an SQL-like Manner
Abstract. One of the most important data mining tasks is discovery of frequently occurring patterns in sequences of events. Many algorithms for finding various patterns in sequenti...
Marek Wojciechowski
ICNC
2005
Springer
10 years 9 months ago
On Non-markovian Topographic Organization of Receptive Fields in Recursive Self-organizing Map
Abstract. Recently, there has been an outburst of interest in extending topographic maps of vectorial data to more general data structures, such as sequences or trees. The represen...
Peter Tiño, Igor Farkas
AMR
2005
Springer
137views Multimedia» more  AMR 2005»
10 years 9 months ago
Information Retrieval of Sequential Data in Heterogeneous XML Databases
The XML language is a W3C standard sustained by both the industry and the scientific community. Therefore, the available information annotated in XML keeps and will keep increasing...
Eugen Popovici, Pierre-Francois Marteau, Gildas M&...
ICML
2007
IEEE
11 years 5 months ago
Multi-task learning for sequential data via iHMMs and the nested Dirichlet process
A new hierarchical nonparametric Bayesian model is proposed for the problem of multitask learning (MTL) with sequential data. Sequential data are typically modeled with a hidden M...
Kai Ni, Lawrence Carin, David B. Dunson
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