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CIKM
2008
Springer
13 years 10 months ago
Metric-based ontology learning
Ontology learning is an important task in Artificial Intelligence, Semantic Web and Text Mining. This paper presents a novel framework for, and solutions to, three practical probl...
Hui Yang, Jamie Callan
KDD
2010
ACM
287views Data Mining» more  KDD 2010»
13 years 10 months ago
Designing efficient cascaded classifiers: tradeoff between accuracy and cost
We propose a method to train a cascade of classifiers by simultaneously optimizing all its stages. The approach relies on the idea of optimizing soft cascades. In particular, inst...
Vikas C. Raykar, Balaji Krishnapuram, Shipeng Yu
EDM
2008
96views Data Mining» more  EDM 2008»
13 years 10 months ago
Labeling Student Behavior Faster and More Precisely with Text Replays
We present text replays, a method for generating labels that can be used to train classifiers of student behavior. We use this method to label data as to whether students are gamin...
Ryan Shaun Joazeiro de Baker, Adriana M. J. B. de ...
ICWSM
2008
13 years 10 months ago
Wikipedia as an Ontology for Describing Documents
Identifying topics and concepts associated with a set of documents is a task common to many applications. It can help in the annotation and categorization of documents and be used...
Zareen Saba Syed, Tim Finin, Anupam Joshi
IJCAI
2007
13 years 10 months ago
Tractable Temporal Reasoning
Temporal reasoning is widely used within both Computer Science and A.I. However, the underlying complexity of temporal proof in discrete temporal logics has led to the use of simp...
Clare Dixon, Michael Fisher, Boris Konev