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KDD
1994
ACM
140views Data Mining» more  KDD 1994»
15 years 10 months ago
A Comparison of Pruning Methods for Relational Concept Learning
Pre-Pruning and Post-Pruning are two standard methods of dealing with noise in concept learning. Pre-Pruning methods are very efficient, while Post-Pruning methods typically are m...
Johannes Fürnkranz
ICGI
2000
Springer
15 years 10 months ago
Constructive Learning of Context-Free Languages with a Subpansive Tree
A subpansive tree is a rooted tree that gives a partial order of nonterminal symbols of a context-free grammar. We formalize subpansive trees as background knowledge of CFGs, and i...
Noriko Sugimoto, Takashi Toyoshima, Shinichi Shimo...
ACL
1996
15 years 8 months ago
A Synopsis of Learning to Recognize Names Across Languages
The development of natural language processing (NLP) systems that perform machine translation (MT) and information retrieval (IR) has highlighted the need for the automatic recogn...
Anthony F. Gallippi
CORR
2012
Springer
210views Education» more  CORR 2012»
14 years 2 months ago
MAV Stabilization using Machine Learning and Onboard Sensors
In many situations, Miniature Aerial Vehicles (MAVs) are limited to using only on-board sensors for navigation. This limits the data available to algorithms used for stabilization...
Jason Yosinski, Cooper Bills
ICDM
2010
IEEE
172views Data Mining» more  ICDM 2010»
15 years 4 months ago
Learning Attribute-to-Feature Mappings for Cold-Start Recommendations
Cold-start scenarios in recommender systems are situations in which no prior events, like ratings or clicks, are known for certain users or items. To compute predictions in such ca...
Zeno Gantner, Lucas Drumond, Christoph Freudenthal...