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PKDD
2010
Springer
128views Data Mining» more  PKDD 2010»
15 years 1 months ago
Learning to Tag from Open Vocabulary Labels
Most approaches to classifying media content assume a fixed, closed vocabulary of labels. In contrast, we advocate machine learning approaches which take advantage of the millions...
Edith Law, Burr Settles, Tom M. Mitchell
84
Voted
ITICSE
2006
ACM
15 years 8 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
107
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
IDA
2000
Springer
15 years 2 months ago
From machine learning to knowledge discovery: Survey of preprocessing and postprocessing
Knowledge Discovery in Databases (KDD) has become a very attractive discipline both for research and industry within last few years. Its goal is to extract pieces of knowledge or `...
Ivan Bruha
124
Voted
INCDM
2010
Springer
146views Data Mining» more  INCDM 2010»
15 years 6 months ago
Learning from Humanoid Cartoon Designs
Abstract. Character design is a key ingredient to the success of any comicbook, graphic novel, or animated feature. Artists typically use shape, size and proportion as the first de...
Md. Tanvirul Islam, Kaiser Md. Nahiduzzaman, Why Y...