Sciweavers

3716 search results - page 17 / 744
» On the monotonization of the training set
Sort
View
ORDER
2006
105views more  ORDER 2006»
13 years 6 months ago
Descending Chains and Antichains of the Unary, Linear, and Monotone Subfunction Relations
The C-subfunction relations on the set of functions on a finite base set A defined by function classes C are examined. For certain clones C on A, it is determined whether the part...
Erkko Lehtonen
ISLPED
2007
ACM
123views Hardware» more  ISLPED 2007»
13 years 8 months ago
Approximation algorithms for power minimization of earliest deadline first and rate monotonic schedules
We address power minimization of earliest deadline first and ratemonotonic schedules by voltage and frequency scaling. We prove that the problems are NP-hard, and present (1+ ) f...
Sushu Zhang, Karam S. Chatha, Goran Konjevod
ICPR
2002
IEEE
14 years 7 months ago
The Combining Classifier: To Train or Not to Train?
When more than a single classifier has been trained for the same recognition problem the question arises how this set of classifiers may be combined into a final decision rule. Se...
Robert P. W. Duin
DM
2008
50views more  DM 2008»
13 years 6 months ago
Searching monotone multi-dimensional arrays
A d-dimensional array of real numbers is called monotone increasing if its entries are increasing along each dimension. Given An,d, a monotone increasing d-dimensional array with ...
Yongxi Cheng, Xiaoming Sun, Yiqun Lisa Yin
IJCAI
1997
13 years 8 months ago
Extracting Propositions from Trained Neural Networks
This paper presents an algorithm for extract­ ing propositions from trained neural networks. The algorithm is a decompositional approach which can be applied to any neural networ...
Hiroshi Tsukimoto