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Manifold Density Estimation via Generalized Dequantization
For instance, some kinds of data may be known to lie on the surface of a sphere.
A Hybrid Monte Carlo Architecture for Parameter Optimization
The methodologies rely chiefly on the method of maximizing the expected improvement of a score function with respect to adjustments in the hyper-parameters.
Automated Attribution and Intertextual Analysis
In this work, we employ quantitative methods from the realm of statistics and machine learning to develop novel methodologies for author attribution and textual analysis.
Ensemble Committees for Stock Return Classification and Prediction
This paper considers a portfolio trading strategy formulated by algorithms in the field of machine learning.
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