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ICDM
2003
IEEE
134views Data Mining» more  ICDM 2003»
15 years 8 months ago
Probabilistic User Behavior Models
We present a mixture model based approach for learning individualized behavior models for the Web users. We investigate the use of maximum entropy and Markov mixture models for ge...
Eren Manavoglu, Dmitry Pavlov, C. Lee Giles
132
Voted
IJDMB
2008
105views more  IJDMB 2008»
15 years 3 months ago
Temporal representation for gene networks: towards a qualitative temporal data mining
: Recently lots of studies aim at modeling and inferring gene networks. Modeling tools propose graphical models having almost nothing about time description of events and regards t...
Nicolas Turenne, Sylviane R. Schwer
158
Voted
JMLR
2012
13 years 6 months ago
Markov Logic Mixtures of Gaussian Processes: Towards Machines Reading Regression Data
We propose a novel mixtures of Gaussian processes model in which the gating function is interconnected with a probabilistic logical model, in our case Markov logic networks. In th...
Martin Schiegg, Marion Neumann, Kristian Kersting
108
Voted
SYNASC
2005
IEEE
84views Algorithms» more  SYNASC 2005»
15 years 9 months ago
Membrane Computing as a Framework for Modeling Economic Processes
Abstract. This paper is a first step towards a systematic evaluation of the possibilities to use membrane computing as a modeling framework for economics. Membrane computing is a ...
Gheorghe Paun, Radu A. Paun
KES
2006
Springer
15 years 3 months ago
Integrated Document Browsing and Data Acquisition for Building Large Ontologies
Named entities (e.g., "Kofi Annan", "Coca-Cola", "Second World War") are ubiquitous in web pages and other types of document and often provide a simpl...
Felix Weigel, Klaus U. Schulz, Levin Brunner, Edua...