581 search results - page 23 / 117 » EM in High Dimensional Spaces |
DAWAK
1999
Springer
15 years 2 months ago
1999
Springer
Efficient index construction in multidimensional data spaces is important for many knowledge discovery algorithms, because construction times typically must be amortized by perform...
UAI
2000
14 years 12 months ago
2000
This paper is about the use of metric data structures in high-dimensionalor non-Euclidean space to permit cached sufficientstatisticsaccelerationsof learning algorithms. It has re...
ACISP
1997
Springer
15 years 2 months ago
1997
Springer
Abstract. Highly nonlinear Boolean functions occupy an important position in the design of secure block as well as stream ciphers. This paper proves two new lower bounds on the non...
NN
2010
Springer
14 years 9 months ago
2010
Springer
The ratio of two probability density functions is becoming a quantity of interest these days in the machine learning and data mining communities since it can be used for various d...
ICDM
2009
IEEE
15 years 5 months ago
2009
IEEE
—Identifying modules, or natural communities, in large complex networks is fundamental in many fields, including social sciences, biological sciences and engineering. Recently s...