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ICCS
2007
Springer
15 years 8 months ago
Active Learning with Support Vector Machines for Tornado Prediction
In this paper, active learning with support vector machines (SVMs) is applied to the problem of tornado prediction. This method is used to predict which storm-scale circulations yi...
Theodore B. Trafalis, Indra Adrianto, Michael B. R...
LOCA
2009
Springer
15 years 7 months ago
Activity Recognition from Sparsely Labeled Data Using Multi-Instance Learning
Abstract. Activity recognition has attracted increasing attention in recent years due to its potential to enable a number of compelling contextaware applications. As most approache...
Maja Stikic, Bernt Schiele
ACL
2010
15 years 16 days ago
Using Smaller Constituents Rather Than Sentences in Active Learning for Japanese Dependency Parsing
We investigate active learning methods for Japanese dependency parsing. We propose active learning methods of using partial dependency relations in a given sentence for parsing an...
Manabu Sassano, Sadao Kurohashi
PERVASIVE
2010
Springer
15 years 7 months ago
Active Capacitive Sensing: Exploring a New Wearable Sensing Modality for Activity Recognition
Abstract. The paper describes the concept, implementation, and evaluation of a new on-body capacitive sensing approach to derive activity related information. Using conductive text...
Jingyuan Cheng, Oliver Amft, Paul Lukowicz
114
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ICML
2001
IEEE
16 years 3 months ago
Toward Optimal Active Learning through Sampling Estimation of Error Reduction
This paper presents an active learning method that directly optimizes expected future error. This is in contrast to many other popular techniques that instead aim to reduce versio...
Nicholas Roy, Andrew McCallum