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» Parallel Support Vector Machines: The Cascade SVM
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IJCNN
2007
IEEE
14 years 3 months ago
On Extending the SMO Algorithm Sub-Problem
—The Support Vector Machine is a widely employed machine learning model due to its repeatedly demonstrated superior generalization performance. The Sequential Minimal Optimizatio...
Christopher Sentelle, Michael Georgiopoulos, Georg...
AIA
2007
13 years 10 months ago
Improving the aggregating algorithm for regression
Kernel Ridge Regression (KRR) and the recently developed Kernel Aggregating Algorithm for Regression (KAAR) are regression methods based on Least Squares. KAAR has theoretical adv...
Steven Busuttil, Yuri Kalnishkan, Alexander Gammer...
DAGM
2010
Springer
13 years 9 months ago
Computational TMA Analysis and Cell Nucleus Classification of Renal Cell Carcinoma
Abstract. We consider an automated processing pipeline for tissue micro array analysis (TMA) of renal cell carcinoma. It consists of several consecutive tasks, which can be mapped ...
Peter J. Schüffler, Thomas J. Fuchs, Cheng So...
IDA
2006
Springer
13 years 8 months ago
Sequential patterns for text categorization
Text categorization is a well-known task based essentially on statistical approaches using neural networks, Support Vector Machines and other machine learning algorithms. Texts are...
Simon Jaillet, Anne Laurent, Maguelonne Teisseire
CORR
2004
Springer
195views Education» more  CORR 2004»
13 years 8 months ago
Detecting User Engagement in Everyday Conversations
This paper presents a novel application of speech emotion recognition: estimation of the level of conversational engagement between users of a voice communication system. We begin...
Chen Yu, Paul M. Aoki, Allison Woodruff