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ML
1998
ACM
102views Machine Learning» more  ML 1998»
15 years 4 months ago
Statistical Mechanics of Online Learning of Drifting Concepts: A Variational Approach
We review the application of statistical mechanics methods to the study of online learning of a drifting concept in the limit of large systems. The model where a feed-forward netwo...
Renato Vicente, Osame Kinouchi, Nestor Caticha
KDD
2002
ACM
122views Data Mining» more  KDD 2002»
16 years 5 months ago
Hierarchical model-based clustering of large datasets through fractionation and refractionation
The goal of clustering is to identify distinct groups in a dataset. Compared to non-parametric clustering methods like complete linkage, hierarchical model-based clustering has th...
Jeremy Tantrum, Alejandro Murua, Werner Stuetzle
TSDM
2000
151views Data Mining» more  TSDM 2000»
15 years 8 months ago
Identifying Temporal Patterns for Characterization and Prediction of Financial Time Series Events
The novel Time Series Data Mining (TSDM) framework is applied to analyzing financial time series. The TSDM framework adapts and innovates data mining concepts to analyzing time ser...
Richard J. Povinelli
PRESENCE
2000
105views more  PRESENCE 2000»
15 years 4 months ago
Optical Versus Video See-Through Head-Mounted Displays in Medical Visualization
We compare two technological approaches to augmented reality for 3-D medical visualization: optical and video see-through devices. We provide a context to discuss the technology b...
Jannick P. Rolland, Henry Fuchs
ASC
2011
14 years 11 months ago
Fuzzy sets in machine learning and data mining
Machine learning, data mining, and several related research areas are concerned with methods for the automated induction of models and the extraction of interesting patterns from ...
Eyke Hüllermeier