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PAKDD
2004
ACM
113views Data Mining» more  PAKDD 2004»
14 years 3 months ago
Logistic Regression and Boosting for Labeled Bags of Instances
Abstract. In this paper we upgrade linear logistic regression and boosting to multi-instance data, where each example consists of a labeled bag of instances. This is done by connec...
Xin Xu, Eibe Frank
EUSAI
2003
Springer
14 years 3 months ago
Correlating Sensors and Activities in an Intelligent Environment: A Logistic Regression Approach
An important problem in intelligent environments is how the system can identify and model users’ activities. This paper describes a new technique for identifying correlations be...
Fahd Al-Bin-Ali, Prasad Boddupalli, Nigel Davies, ...
ICPR
2010
IEEE
14 years 1 months ago
Localized Multiple Kernel Regression
Multiple kernel learning (MKL) uses a weighted combination of kernels where the weight of each kernel is optimized during training. However, MKL assigns the same weight to a kerne...
Mehmet Gönen, Ethem Alpaydin
EMNLP
2008
13 years 11 months ago
Ranking Reader Emotions Using Pairwise Loss Minimization and Emotional Distribution Regression
This paper presents two approaches to ranking reader emotions of documents. Past studies assign a document to a single emotion category, so their methods cannot be applied directl...
Kevin Hsin-Yih Lin, Hsin-Hsi Chen
NIPS
2001
13 years 11 months ago
Kernel Logistic Regression and the Import Vector Machine
The support vector machine (SVM) is known for its good performance in binary classification, but its extension to multi-class classification is still an on-going research issue. I...
Ji Zhu, Trevor Hastie