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135
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ACL
2012
13 years 5 months ago
Finding Bursty Topics from Microblogs
Microblogs such as Twitter reflect the general public’s reactions to major events. Bursty topics from microblogs reveal what events have attracted the most online attention. Al...
Qiming Diao, Jing Jiang, Feida Zhu, Ee-Peng Lim
126
Voted
JMLR
2010
108views more  JMLR 2010»
14 years 10 months ago
Feature Selection using Multiple Streams
Feature selection for supervised learning can be greatly improved by making use of the fact that features often come in classes. For example, in gene expression data, the genes wh...
Paramveer S. Dhillon, Dean P. Foster, Lyle H. Unga...
179
Voted
DGO
2011
285views Education» more  DGO 2011»
14 years 3 months ago
Social media use by government: from the routine to the critical
Social media (i.e., Twitter, Facebook, Flickr, YouTube) and other services with user-generated content have made a staggering amount of information (and misinformation) available....
Andrea L. Kavanaugh, Edward A. Fox, Steven D. Shee...
90
Voted
ITICSE
2006
ACM
15 years 9 months ago
Students learn CS in different ways: insights from an empirical study
This empirical study demonstrates that students’ learning of computer science takes place in qualitatively different ways. The results consist of categories, where each category...
Anders Berglund, Mattias Wiggberg
113
Voted
SSPR
2004
Springer
15 years 8 months ago
Learning from General Label Constraints
Most machine learning algorithms are designed either for supervised or for unsupervised learning, notably classification and clustering. Practical problems in bioinformatics and i...
Tijl De Bie, Johan A. K. Suykens, Bart De Moor