1463 search results - page 10 / 293 » Feature selection based on the training set manipulation |
CHI
1994
ACM
13 years 11 months ago
1994
ACM
When working with large data sets, users perform three primary types of activities: data manipulation, data analysis, and data visualization. The data manipulation process involve...
SETN
2010
Springer
14 years 2 months ago
2010
Springer
In the present work we address the problem of phone duration modeling for the needs of emotional speech synthesis. Specifically, relying on ten well known machine learning techniqu...
ACL
2009
13 years 5 months ago
2009
In text categorization, feature selection (FS) is a strategy that aims at making text classifiers more efficient and accurate. However, when dealing with a new task, it is still d...
ECML
2004
Springer
13 years 11 months ago
2004
Springer
Maintaining compact and competent case bases has become a main topic of Case Based Reasoning (CBR) research. The main goal is to obtain a compact case base (with a reduced number o...
MVA
1996
13 years 8 months ago
1996
A method for inductivelearningof primitive features is proposed. Primitive features are well investigated and they are extracted in bottom-up manner fiom training set of patterns ...