1025 search results - page 86 / 205 » Constraint Programming for Data Mining and Machine Learning |
120
click to vote
PKDD
2010
Springer
15 years 1 months ago
2010
Springer
Active learning [1] is a branch of Machine Learning in which the learning algorithm, instead of being directly provided with pairs of problem instances and their solutions (their l...
109
click to vote
NIPS
2003
15 years 4 months ago
2003
Principal components analysis (PCA) is one of the most widely used techniques in machine learning and data mining. Minor components analysis (MCA) is less well known, but can also...
140
Voted
ICDM
2007
IEEE
15 years 9 months ago
2007
IEEE
Text clustering is most commonly treated as a fully automated task without user supervision. However, we can improve clustering performance using supervision in the form of pairwi...
145
Voted
KDD
2008
ACM
16 years 3 months ago
2008
ACM
In many multiclass learning scenarios, the number of classes is relatively large (thousands,...), or the space and time efficiency of the learning system can be crucial. We invest...
145
click to vote
CIKM
2009
Springer
15 years 10 months ago
2009
Springer
Features in many real world applications such as Cheminformatics, Bioinformatics and Information Retrieval have complex internal structure. For example, frequent patterns mined fr...