716 search results - page 106 / 144 » Optimizing Sorting with Machine Learning Algorithms |
128
click to vote
ICML
2010
IEEE
14 years 12 months ago
2010
IEEE
Temporal difference (TD) algorithms are attractive for reinforcement learning due to their ease-of-implementation and use of "bootstrapped" return estimates to make effi...
141
click to vote
ICANN
2005
Springer
15 years 7 months ago
2005
Springer
Abstract. Tuning hyper-parameters is a necessary step to improve learning algorithm performances. For Support Vector Machine classifiers, adjusting kernel parameters increases dra...
144
click to vote
IVC
2006
15 years 1 months ago
2006
This paper investigates the use of range images of faces for recognizing people. 3D scans of faces lead to range images that are linearly projected to low-dimensional subspaces fo...
157
click to vote
BMCBI
2010
15 years 2 months ago
2010
Background: Generally speaking, different classifiers tend to work well for certain types of data and conversely, it is usually not known a priori which algorithm will be optimal ...
138
click to vote
CVPR
2011
IEEE
14 years 5 months ago
2011
IEEE
Similarity search, namely, finding approximate nearest neighborhoods, is the core of many large scale machine learning or vision applications. Recently, many research results dem...