Sciweavers

7742 search results - page 1145 / 1549
» The Robustness of Level Sets
Sort
View
178
Voted
ECIR
2010
Springer
15 years 8 months ago
Learning to Select a Ranking Function
Abstract. Learning To Rank (LTR) techniques aim to learn an effective document ranking function by combining several document features. While the function learned may be uniformly ...
Jie Peng, Craig Macdonald, Iadh Ounis
205
Voted
ESANN
2006
15 years 8 months ago
Magnification control for batch neural gas
Neural gas (NG) constitutes a very robust clustering algorithm which can be derived as stochastic gradient descent from a cost function closely connected to the quantization error...
Barbara Hammer, Alexander Hasenfuss, Thomas Villma...
IJIT
2004
15 years 8 months ago
Modeling of Pulping of Sugar Maple Using Advanced Neural Network Learning
This paper reports work done to improve the modeling of complex processes when only small experimental data sets are available. Neural networks are used to capture the nonlinear un...
W. D. Wan Rosli, Z. Zainuddin, R. Lanouette, S. Sa...
DYNAMO
2000
87views more  DYNAMO 2000»
15 years 8 months ago
Derive: a tool that automatically reverse-engineers instruction encodings
Many binary tools, such as disassemblers, dynamiccode generation systems, and executable code rewriters, need to understand how machine instructions are encoded. Unfortunately, sp...
Dawson R. Engler, Wilson C. Hsieh
ALMOB
2007
74views more  ALMOB 2007»
15 years 7 months ago
Evaluating deterministic motif significance measures in protein databases
Background: Assessing the outcome of motif mining algorithms is an essential task, as the number of reported motifs can be very large. Significance measures play a central role in...
Pedro Gabriel Ferreira, Paulo J. Azevedo
« Prev « First page 1145 / 1549 Last » Next »