1025 search results - page 101 / 205 » Constraint Programming for Data Mining and Machine Learning |
123
click to vote
ICAPR
2009
Springer
15 years 9 months ago
2009
Springer
— Feature selection and ensemble classification increase system efficiency and accuracy in machine learning, data mining and biomedical informatics. This research presents an ana...
124
click to vote
ICDM
2009
IEEE
15 years 10 months ago
2009
IEEE
A pervasive problem in large relational databases is identity uncertainty which occurs when multiple entries in a database refer to the same underlying entity in the world. Relati...
117
click to vote
ICDM
2007
IEEE
15 years 9 months ago
2007
IEEE
We present a machine learning methodology (models, algorithms, and experimental data) to discovering the agent dynamics that drive the evolution of the social groups in a communit...
100
Voted
ICML
2009
IEEE
16 years 4 months ago
2009
IEEE
Conventional clustering methods typically assume that each data item belongs to a single cluster. This assumption does not hold in general. In order to overcome this limitation, w...
112
click to vote
AAAI
1996
15 years 4 months ago
1996
Rule induction research implicitly assumes that after producing the rules from a dataset, these rules will be used directly by an expert system or a human user. In real-life appli...