Sciweavers

7378 search results - page 1278 / 1476
» Introduction to Machine Learning
Sort
View
AIR
2004
113views more  AIR 2004»
15 years 2 months ago
Class Noise vs. Attribute Noise: A Quantitative Study
Real-world data is never perfect and can often suffer from corruptions (noise) that may impact interpretations of the data, models created from the data and decisions made based on...
Xingquan Zhu, Xindong Wu
UMUAI
2008
192views more  UMUAI 2008»
15 years 2 months 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...
134
Voted
CN
2000
98views more  CN 2000»
15 years 2 months ago
Dynamic pricing by software agents
We envision a future in which the global economy and the Internet will merge and evolve together into an information economy bustling with billions of economically motivated softw...
Jeffrey O. Kephart, James E. Hanson, Amy R. Greenw...
122
Voted
PAMI
2000
142views more  PAMI 2000»
15 years 2 months ago
Evolutionary Pursuit and Its Application to Face Recognition
Abstract-- This paper introduces Evolutionary Pursuit (EP) as a novel and adaptive representation method for image encoding and classification. In analogy to projection pursuit met...
Chengjun Liu, Harry Wechsler
139
Voted
ICDM
2010
IEEE
168views Data Mining» more  ICDM 2010»
15 years 15 days 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
« Prev « First page 1278 / 1476 Last » Next »