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IDA
2005
Springer
15 years 4 months ago
Combining Bayesian Networks with Higher-Order Data Representations
Abstract. This paper introduces Higher-Order Bayesian Networks, a probabilistic reasoning formalism which combines the efficient reasoning mechanisms of Bayesian Networks with the...
Elias Gyftodimos, Peter A. Flach
130
Voted
SIGMOD
2011
ACM
269views Database» more  SIGMOD 2011»
14 years 1 months ago
Advancing data clustering via projective clustering ensembles
Projective Clustering Ensembles (PCE) are a very recent advance in data clustering research which combines the two powerful tools of clustering ensembles and projective clustering...
Francesco Gullo, Carlotta Domeniconi, Andrea Tagar...
87
Voted
ACL
1998
15 years 13 days ago
Automatic Retrieval and Clustering of Similar Words
Bootstrapping semantics from text is one of the greatest challenges in natural language learning. We first define a word similarity measure based on the distributional pattern of ...
Dekang Lin
CAISE
2008
Springer
15 years 1 months ago
How Much Language Is Enough? Theoretical and Practical Use of the Business Process Modeling Notation
The Business Process Modeling Notation (BPMN) is an increasingly important industry standard for the graphical representation of business processes. BPMN offers a wide range of mod...
Michael zur Muehlen, Jan Recker
CEC
2008
IEEE
15 years 5 months ago
Solving one-billion-bit Noisy OneMax problem using Estimation Distribution Algorithm with Arithmetic Coding
— This paper presents an algorithm which combines Estimation Distribution Algorithm with a chromosome compression scheme to solve large scale Noisy OneMax problem. The search spa...
Worasait Suwannik, Prabhas Chongstitvatana