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KDD
2002
ACM
108views Data Mining» more  KDD 2002»
16 years 4 months ago
Incremental Machine Learning to Reduce Biochemistry Lab Costs in the Search for Drug Discovery
This paper promotes the use of supervised machine learning in laboratory settings where chemists have a large number of samples to test for some property, and are interested in id...
George Forman
150
Voted
ICCV
2009
IEEE
15 years 9 months ago
Joint Pose Estimator and Feature Learning for Object Detection
A new learning strategy for object detection is presented. The proposed scheme forgoes the need to train a collection of detectors dedicated to homogeneous families of poses, an...
Karim Ali, Francois Fleuret, David Hasler and Pasc...
ECRIME
2007
15 years 7 months ago
A comparison of machine learning techniques for phishing detection
There are many applications available for phishing detection. However, unlike predicting spam, there are only few studies that compare machine learning techniques in predicting ph...
Saeed Abu-Nimeh, Dario Nappa, Xinlei Wang, Suku Na...
ACL
2010
15 years 2 months ago
Fine-Grained Genre Classification Using Structural Learning Algorithms
Prior use of machine learning in genre classification used a list of labels as classification categories. However, genre classes are often organised into hierarchies, e.g., coveri...
Zhili Wu, Katja Markert, Serge Sharoff
ADMA
2010
Springer
248views Data Mining» more  ADMA 2010»
15 years 2 months ago
Classification Inductive Rule Learning with Negated Features
This paper reports on an investigation to compare a number of strategies to include negated features within the process of Inductive Rule Learning (IRL). The emphasis is on generat...
Stephanie Chua, Frans Coenen, Grant Malcolm