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» Semi-supervised time series classification
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CIDU
2010
13 years 2 months ago
Multi-label ASRS Dataset Classification Using Semi Supervised Subspace Clustering
There has been a lot of research targeting text classification. Many of them focus on a particular characteristic of text data - multi-labelity. This arises due to the fact that a ...
Mohammad Salim Ahmed, Latifur Khan, Nikunj C. Oza,...
EMNLP
2009
13 years 2 months ago
Semi-Supervised Learning for Semantic Relation Classification using Stratified Sampling Strategy
This paper presents a new approach to selecting the initial seed set using stratified sampling strategy in bootstrapping-based semi-supervised learning for semantic relation class...
Longhua Qian, Guodong Zhou, Fang Kong, Qiaoming Zh...
IJSI
2008
156views more  IJSI 2008»
13 years 4 months ago
Co-Training by Committee: A Generalized Framework for Semi-Supervised Learning with Committees
Many data mining applications have a large amount of data but labeling data is often difficult, expensive, or time consuming, as it requires human experts for annotation. Semi-supe...
Mohamed Farouk Abdel Hady, Friedhelm Schwenker
INFORMATICALT
2000
82views more  INFORMATICALT 2000»
13 years 4 months ago
Recursive Algorithms of Time Series Observations Recognition
Abstract. The paper presents new method for sequential classification of the time series observations. Methods and algorithms of sequential recognition are obtained on the basis of...
Edward Shpilewski
ICTAI
2008
IEEE
13 years 11 months ago
Real-Time Classification of Streaming Sensor Data
The last decade has seen a huge interest in classification of time series. Most of this work assumes that the data resides in main memory and is processed offline. However, recent...
Shashwati Kasetty, Candice Stafford, Gregory P. Wa...