Sciweavers

1969 search results - page 108 / 394
» Fuzzy sets in machine learning and data mining
Sort
View
139
Voted
TKDE
2010
137views more  TKDE 2010»
15 years 2 months ago
A Survey on Transfer Learning
—A major assumption in many machine learning and data mining algorithms is that the training and future data must be in the same feature space and have the same distribution. How...
Sinno Jialin Pan, Qiang Yang
APBC
2006
181views Bioinformatics» more  APBC 2006»
15 years 5 months ago
Analyzing Inconsistency Toward Enhancing Integration of Biological Molecular Databases
: The rapid growth of biological databases not only provides biologists with abundant data but also presents a big challenge in relation to the analysis of data. Many data analysis...
Yi-Ping Phoebe Chen, Qingfeng Chen
130
Voted
ICMLC
2010
Springer
15 years 2 months ago
An integrity-based fuzzy c-means method resolving cluster size sensitivity problem
: Cluster size insensitive FCM (csiFCM) dynamically adjusts the membership value of each object based on the size of the cluster to which it is assigned after defuzzification to re...
Y. H. Lai, P. W. Huang, P. L. Lin
121
Voted
ML
2006
ACM
15 years 3 months ago
A Unified View on Clustering Binary Data
Clustering is the problem of identifying the distribution of patterns and intrinsic correlations in large data sets by partitioning the data points into similarity classes. This p...
Tao Li
155
Voted
AAAI
2008
15 years 6 months ago
Learning to Improve Earth Observation Flight Planning
This paper describes a method and system for integrating machine learning with planning and data visualization for the management of mobile sensors for Earth science investigation...
Robert A. Morris, Nikunj C. Oza, Leslie Keely, Eli...