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KDD
2009
ACM
178views Data Mining» more  KDD 2009»
14 years 9 months ago
Constrained optimization for validation-guided conditional random field learning
Conditional random fields(CRFs) are a class of undirected graphical models which have been widely used for classifying and labeling sequence data. The training of CRFs is typicall...
Minmin Chen, Yixin Chen, Michael R. Brent, Aaron E...
CORR
2010
Springer
136views Education» more  CORR 2010»
13 years 7 months ago
Viewpoints: A high-performance high-dimensional exploratory data analysis tool
Scientific data sets continue to increase in both size and complexity. In the past, dedicated graphics systems at supercomputing centers were required to visualize large data sets,...
Paul R. Gazis, C. Levit, Michael J. Way
AUSDM
2006
Springer
145views Data Mining» more  AUSDM 2006»
14 years 27 days ago
Discover Knowledge From Distribution Maps Using Bayesian Networks
This paper applies a Bayesian network to model multi criteria distribution maps and to discover knowledge contained in spatial data. The procedure consists of three steps: pre pro...
Norazwin Buang, Nianjun Liu, Terry Caelli, Rob Les...
CASDMKM
2004
Springer
147views Data Mining» more  CASDMKM 2004»
14 years 2 months ago
Data Set Balancing
This paper conducts experiments with three skewed data sets, seeking to demonstrate problems when skewed data is used, and identifying counter problems when data is balanced. The b...
David L. Olson
PKDD
2009
Springer
92views Data Mining» more  PKDD 2009»
14 years 3 months ago
A Generic Approach to Topic Models
This article contributes a generic model of topic models. To define the problem space, general characteristics for this class of models are derived, which give rise to a represent...
Gregor Heinrich