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ICDM
2010
IEEE
200views Data Mining» more  ICDM 2010»
14 years 7 months ago
Bayesian Maximum Margin Clustering
Abstract--Most well-known discriminative clustering models, such as spectral clustering (SC) and maximum margin clustering (MMC), are non-Bayesian. Moreover, they merely considered...
Bo Dai, Baogang Hu, Gang Niu
DATAMINE
2007
135views more  DATAMINE 2007»
14 years 9 months ago
Experiencing SAX: a novel symbolic representation of time series
Many high level representations of time series have been proposed for data mining, including Fourier transforms, wavelets, eigenwaves, piecewise polynomial models etc. Many researc...
Jessica Lin, Eamonn J. Keogh, Li Wei, Stefano Lona...
DAWAK
2003
Springer
15 years 2 months ago
CPM: A Cube Presentation Model for OLAP
On-Line Analytical Processing (OLAP) is a trend in database technology, based on the multidimensional view of data. In this paper we introduce the Cube Presentation Model (CPM), a ...
Andreas S. Maniatis, Panos Vassiliadis, Spiros Ski...
NEUROSCIENCE
2001
Springer
15 years 2 months ago
Analysis and Synthesis of Agents That Learn from Distributed Dynamic Data Sources
We propose a theoretical framework for specification and analysis of a class of learning problems that arise in open-ended environments that contain multiple, distributed, dynamic...
Doina Caragea, Adrian Silvescu, Vasant Honavar
77
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GECCO
2007
Springer
172views Optimization» more  GECCO 2007»
15 years 3 months ago
Improving the human readability of features constructed by genetic programming
The use of machine learning techniques to automatically analyse data for information is becoming increasingly widespread. In this paper we examine the use of Genetic Programming a...
Matthew Smith, Larry Bull