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《The Elements of Statistical Learning: Data Mining, Inference, and Prediction》 (Second Edition)(图)
Data Mining Inference Prediction
2015/8/21
During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and mark...
Predicting the Severity of Breast Masses with Data Mining Methods
Breast cancer data mining decision tree neural network support vector machine
2013/6/17
Mammography is the most effective and available tool for breast cancer screening. However, the low positive predictive value of breast biopsy resulting from mammogram interpretation leads to approxima...
Multi-scale Mining of fMRI data with Hierarchical Structured Sparsity
brain reading structured sparsity convex optimization sparse hierarchical models inter-subject validation proximal methods
2011/6/16
Inverse inference, or “brain reading”, is a recent paradigm for analyzing functional magnetic resonance imaging (fMRI) data, based on pattern recognition and statistical learning. By predicting some c...
Text data mining:Theory and methods
text data mining clustering visualization pattern recognition discriminant analysis dimensionality reduction feature extraction manifold learning
2009/2/11
This paper provides the reader with a very brief introduction to some of the theory and methods of text data mining. The intent of this article is to introduce the reader to some of the current method...
State Space Realization Theorems For Data Mining
realizations formal series learning sets data mining Myhill–Nerode Theorem input-output maps algebraic approaches todata mining
2010/3/17
In this paper, we consider formal series associated with events, profiles
derived from events, and statistical models that make predictions
about events. We prove theorems about realizations for the...