1215 search results - page 59 / 243 » Dimensions of machine learning in design |
ASAP
2006
IEEE
13 years 11 months ago
2006
IEEE
Early FPGA researchers understood that FPGAs made possible the creation of a new, flexible, and powerful class of machine -- the configurable computing machine (CCM). The earliest...
FPL
2009
Springer
14 years 13 days ago
2009
Springer
Restricted Boltzmann Machines (RBMs) — the building block for newly popular Deep Belief Networks (DBNs) — are a promising new tool for machine learning practitioners. However,...
ALT
2004
Springer
14 years 4 months ago
2004
Springer
Kernel functions are typically viewed as providing an implicit mapping of points into a high-dimensional space, with the ability to gain much of the power of that space without inc...
ALMOB
2008
13 years 8 months ago
2008
Background: The application of machine learning to classification problems that depend only on positive examples is gaining attention in the computational biology community. We an...
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
This paper is about constructing confidence bands around ROC curves. We first introduce to the machine learning community three band-generating methods from the medical field, and...