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DEXAW
2005
IEEE
133views Database» more  DEXAW 2005»
14 years 11 months ago
Inductive Databases: Towards a New Generation of Databases for Knowledge Discovery
Data mining applications are typically used in the decision making process. The Knowledge Discovery Process (KDD process for short) is a typical iterative process, in which not on...
Rosa Meo
ICML
2005
IEEE
15 years 10 months ago
Active learning for Hidden Markov Models: objective functions and algorithms
Hidden Markov Models (HMMs) model sequential data in many fields such as text/speech processing and biosignal analysis. Active learning algorithms learn faster and/or better by cl...
Brigham Anderson, Andrew Moore
EDBT
2010
ACM
137views Database» more  EDBT 2010»
15 years 28 days ago
Fine-grained and efficient lineage querying of collection-based workflow provenance
The management and querying of workflow provenance data underpins a collection of activities, including the analysis of workflow results, and the debugging of workflows or service...
Paolo Missier, Norman W. Paton, Khalid Belhajjame
TCS
2010
14 years 8 months ago
Active learning in heteroscedastic noise
We consider the problem of actively learning the mean values of distributions associated with a finite number of options. The decision maker can select which option to generate t...
András Antos, Varun Grover, Csaba Szepesv&a...
ISBI
2004
IEEE
15 years 10 months ago
Grid-Enabled Automatic Construction of A Two-Chamber Cardiac PDM from a Large Database of Dynamic 3D Shapes
Point Distribution Modelling (PDM) is an efficient generative technique that can be used to incorporate statistical shape priors into image analysis methods like Active Shape Mode...
Alejandro F. Frangi, Loic Boisrobert, Marcos Lauce...