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135
Voted
KDD
2009
ACM
16 years 3 months ago
2009
ACM
One common predictive modeling challenge occurs in text mining problems is that the training data and the operational (testing) data are drawn from different underlying distributi...
137
Voted
KDD
2006
ACM
16 years 3 months ago
2006
ACM
Correlation clustering aims at grouping the data set into correlation clusters such that the objects in the same cluster exhibit a certain density and are all associated to a comm...
139
click to vote
KDD
2005
ACM
16 years 3 months ago
2005
ACM
Discriminative sequential learning models like Conditional Random Fields (CRFs) have achieved significant success in several areas such as natural language processing, information...
167
Voted
KDD
2003
ACM
16 years 3 months ago
2003
ACM
In today's industry, the design of software tests is mostly based on the testers' expertise, while test automation tools are limited to execution of pre-planned tests on...
222
Voted
POPL
2003
ACM
16 years 2 months ago
2003
ACM
Multimedia and network processing applications make extensive use of subword data. Since registers are capable of holding a full data word, when a subword variable is assigned a r...