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» Learning the k in k-means
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114
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JCB
2007
130views more  JCB 2007»
15 years 20 days ago
Bayesian Inference of MicroRNA Targets from Sequence and Expression Data
MicroRNAs (miRNAs) regulate a large proportion of mammalian genes by hybridizing to targeted messenger RNAs (mRNAs) and down-regulating their translation into protein. Although mu...
Jim C. Huang, Quaid Morris, Brendan J. Frey
UMUAI
2008
192views more  UMUAI 2008»
15 years 19 days ago
Automatic detection of learner's affect from conversational cues
We explored the reliability of detecting a learner's affect from conversational features extracted from interactions with AutoTutor, an intelligent tutoring system that helps...
Sidney K. D'Mello, Scotty D. Craig, Amy M. Withers...
PRL
2010
158views more  PRL 2010»
14 years 11 months ago
Data clustering: 50 years beyond K-means
: Organizing data into sensible groupings is one of the most fundamental modes of understanding and learning. As an example, a common scheme of scientific classification puts organ...
Anil K. Jain
ICDM
2010
IEEE
168views Data Mining» more  ICDM 2010»
14 years 10 months ago
Anomaly Detection Using an Ensemble of Feature Models
We present a new approach to semi-supervised anomaly detection. Given a set of training examples believed to come from the same distribution or class, the task is to learn a model ...
Keith Noto, Carla E. Brodley, Donna K. Slonim
112
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CHI
2011
ACM
14 years 4 months ago
Utilizing multimedia capabilities of mobile phones to support teaching in schools in rural panama
Providing good education is one of the major challenges for humanity. In many developing regions in the world improving educational standards is seen as a central building block f...
Elba del Carmen Valderrama Bahamóndez, Chri...