CORR
2006
Springer
13 years 11 months ago
2006
Springer
CORR
2006
Springer
13 years 11 months ago
2006
Springer
We present a novel approach to semisupervised learning which is based on statistical physics. Most of the former work in the field of semi-supervised learning classifies the point...
CORR
2006
Springer
13 years 11 months ago
2006
Springer
While in general trading off exploration and exploitation in reinforcement learning is hard, under some formulations relatively simple solutions exist. Optimal decision thresholds ...
CORR
2006
Springer
13 years 11 months ago
2006
Springer
CORR
2006
Springer
13 years 11 months ago
2006
Springer
CORR
2006
Springer
13 years 11 months ago
2006
Springer
Many real world data are sampled functions. As shown by Functional Data Analysis (FDA) methods, spectra, time series, images, gesture recognition data, etc. can be processed more e...
CORR
2006
Springer
13 years 11 months ago
2006
Springer
In this article, we describe a new method of extracting information from signals, called functional dissipation, that proves to be very effective for enhancing classification of h...
CORR
2006
Springer
13 years 11 months ago
2006
Springer
CORR
2006
Springer
13 years 11 months ago
2006
Springer
CORR
2006
Springer
13 years 11 months ago
2006
Springer
We perform forward error analysis for a large class of recursive matrix multiplication algorithms in the spirit of [D. Bini and G. Lotti, Stability of fast algorithms for matrix m...