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NIPS
1997
15 years 8 months ago
Incorporating Test Inputs into Learning
In many applications, such as credit default prediction and medical image recognition, test inputs are available in addition to the labeled training examples. We propose a method ...
Zehra Cataltepe, Malik Magdon-Ismail
FOCM
2006
50views more  FOCM 2006»
15 years 6 months ago
Online Learning Algorithms
In this paper, we study an online learning algorithm in Reproducing Kernel Hilbert Spaces (RKHS) and general Hilbert spaces. We present a general form of the stochastic gradient m...
Steve Smale, Yuan Yao
ECCV
2008
Springer
16 years 8 months ago
Discriminative Learning for Deformable Shape Segmentation: A Comparative Study
Abstract. We present a comparative study on how to use discriminative learning methods such as classification, regression, and ranking to address deformable shape segmentation. Tra...
Jingdan Zhang, Shaohua Kevin Zhou, Dorin Comaniciu...
ISMIR
2004
Springer
118views Music» more  ISMIR 2004»
16 years 2 days ago
Learning to Align Polyphonic Music
We describe an efficient learning algorithm for aligning a symbolic representation of a musical piece with its acoustic counterpart. Our method employs a supervised learning appr...
Shai Shalev-Shwartz, Joseph Keshet, Yoram Singer
ECML
2006
Springer
15 years 10 months ago
Cost-Sensitive Learning of SVM for Ranking
Abstract. In this paper, we propose a new method for learning to rank. `Ranking SVM' is a method for performing the task. It formulizes the problem as that of binary classific...
Jun Xu, Yunbo Cao, Hang Li, Yalou Huang