2367 search results - page 108 / 474 » An experimental analysis of self-adjusting computation |
165
click to vote
ICML
2006
IEEE
16 years 7 months ago
2006
IEEE
Dimensionality reduction is an important pre-processing step for many applications. Linear Discriminant Analysis (LDA) is one of the well known methods for supervised dimensionali...
154
click to vote
GECCO
2005
Springer
15 years 12 months ago
2005
Springer
We hypothesize that the relationship between parameter settings, speci cally parameters controlling mutation, and performance is non-linear in genetic programs. Genetic programmin...
192
click to vote
NPC
2004
Springer
15 years 11 months ago
2004
Springer
Many sensor network applications are data-centric, and data analysis plays an important role in these applications. However, it is a challenging task to find out what specific prob...
163
click to vote
AIPR
2003
IEEE
15 years 11 months ago
2003
IEEE
Although hyperspectral images provide abundant information about objects, their high dimensionality also substantially increases computational burden. Dimensionality reduction off...
161
click to vote
VLSID
2006
IEEE
16 years 6 months ago
2006
IEEE
With increasing design complexity, as well as continued scaling of supplies, the design and analysis of power/ground distribution networks poses a difficult problem in modern IC d...