1772 search results - page 76 / 355 » Classifying Problems into Complexity Classes |
AAAI
2008
15 years 2 months ago
2008
Classification is one of the most fundamental problems in machine learning, which aims to separate the data from different classes as far away as possible. A common way to get a g...
108
Voted
NN
2000
Springer
15 years 10 days ago
2000
Springer
Support vector (SV) machines are useful tools to classify populations characterized by abrupt decreases in density functions. At least for one class of Gaussian data model the SV ...
95
Voted
CORR
2007
Springer
15 years 16 days ago
2007
Springer
We propose a new graph representation for ISI channels that can be used for combined equalization and decoding by linear programming (LP) or iterative message-passing (IMP) decodi...
105
Voted
COCO
2006
Springer
15 years 4 months ago
2006
Springer
We study the complexity of restricted versions of s-t-connectivity, which is the standard complete problem for NL. In particular, we focus on different classes of planar graphs, o...
CGO
2007
IEEE
15 years 7 months ago
2007
IEEE
Memory transfers are becoming more important to optimize, for both performance and power consumption. With this goal in mind, new register allocation schemes are developed, which ...