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» Question classification using support vector machines
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165
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CIVR
2005
Springer
123views Image Analysis» more  CIVR 2005»
15 years 9 months ago
Region-Based Image Clustering and Retrieval Using Multiple Instance Learning
Multiple Instance Learning (MIL) is a special kind of supervised learning problem that has been studied actively in recent years. We propose an approach based on One-Class Support ...
Chengcui Zhang, Xin Chen
140
Voted
TNN
2008
129views more  TNN 2008»
15 years 3 months ago
Data Visualization and Dimensionality Reduction Using Kernel Maps With a Reference Point
In this paper, a new kernel-based method for data visualization and dimensionality reduction is proposed. A reference point is considered corresponding to additional constraints ta...
Johan A. K. Suykens
108
Voted
ICASSP
2011
IEEE
14 years 7 months ago
Building HMM based unit-selection speech synthesis system using synthetic speech naturalness evaluation score
This paper proposes a unit-selection and waveform concatenation speech synthesis system based on synthetic speech naturalness evaluation. A Support Vector Machine (SVM) and Log Li...
Heng Lu 0002, Zhen-Hua Ling, Li-Rong Dai, Ren-Hua ...
KDD
2007
ACM
132views Data Mining» more  KDD 2007»
16 years 4 months ago
A scalable modular convex solver for regularized risk minimization
A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and different r...
Choon Hui Teo, Alex J. Smola, S. V. N. Vishwanatha...
JMLR
2012
13 years 6 months ago
Max-Margin Min-Entropy Models
We propose a new family of latent variable models called max-margin min-entropy (m3e) models, which define a distribution over the output and the hidden variables conditioned on ...
Kevin Miller, M. Pawan Kumar, Benjamin Packer, Dan...