Sciweavers

1614 search results - page 10 / 323
» Learning Rules and Their Exceptions
Sort
View
TSMC
2002
144views more  TSMC 2002»
14 years 9 months ago
COR: a methodology to improve ad hoc data-driven linguistic rule learning methods by inducing cooperation among rules
This paper introduces a new learning methodology to quickly generate accurate and simple linguistic fuzzy models, the cooperative rules (COR) methodology. It acts on the consequent...
Jorge Casillas, Oscar Cordón, Francisco Her...
80
Voted
IJCNN
2006
IEEE
15 years 3 months ago
Backpropagation for Population-Temporal Coded Spiking Neural Networks
Abstract— Supervised learning rules for spiking neural networks are currently only able to use time-to-first-spike coding and are plagued by very irregular learning curves due t...
Benjamin Schrauwen, Jan M. Van Campenhout
BMCBI
2007
167views more  BMCBI 2007»
14 years 9 months ago
Applying negative rule mining to improve genome annotation
Background: Unsupervised annotation of proteins by software pipelines suffers from very high error rates. Spurious functional assignments are usually caused by unwarranted homolog...
Irena I. Artamonova, Goar Frishman, Dmitrij Frishm...
SIGECOM
2005
ACM
105views ECommerce» more  SIGECOM 2005»
15 years 3 months ago
Communication complexity of common voting rules
We determine the communication complexity of the common voting rules. The rules (sorted by their communication complexity from low to high) are plurality, plurality with runoff, ...
Vincent Conitzer, Tuomas Sandholm
ICALT
2005
IEEE
15 years 3 months ago
Mining Learner Profile Utilizing Association Rule for Common Learning Misconception Diagnosis
With the rapid growth of computer and Internet technologies, e-learning has become a major trend in the computer assisted teaching and learning fields. Most past researches for we...
Chih-Ming Chen, Ying-Ling Hsieh