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PAKDD
2004
ACM
113views Data Mining» more  PAKDD 2004»
15 years 7 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
15 years 7 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, ...
141
Voted
ICPR
2010
IEEE
15 years 5 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
101
Voted
EMNLP
2008
15 years 3 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
15 years 3 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