Sciweavers

314 search results - page 32 / 63
» Active Learning with Irrelevant Examples
Sort
View
ICDM
2010
IEEE
168views Data Mining» more  ICDM 2010»
14 years 12 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
CHI
2004
ACM
16 years 2 months ago
Science at the Speed of Thought
Abstract. In this paper we describe a virtual laboratory that is designed to accelerate scientific exploration and discovery by minimizing the time between the generation of a scie...
Judith Ellen Devaney, Steven G. Satterfield, John ...
KDD
2007
ACM
178views Data Mining» more  KDD 2007»
16 years 2 months ago
Practical learning from one-sided feedback
In many data mining applications, online labeling feedback is only available for examples which were predicted to belong to the positive class. Such applications include spam filt...
D. Sculley
CIKM
2009
Springer
15 years 8 months ago
Incremental query evaluation for support vector machines
Support vector machines (SVMs) have been widely used in multimedia retrieval to learn a concept in order to find the best matches. In such a SVM active learning environment, the ...
Danzhou Liu, Kien A. Hua
ER
2006
Springer
96views Database» more  ER 2006»
15 years 5 months ago
Understanding the Semantics of Data Provenance to Support Active Conceptual Modeling
: Data Provenance refers to the lineage of data including its origin, key events that occur over the course of its lifecycle, and other details associated with data creation, proce...
Sudha Ram, Jun Liu