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» On Multiple Linear Approximations
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NIPS
1997
15 years 7 months ago
Relative Loss Bounds for Multidimensional Regression Problems
We study on-line generalized linear regression with multidimensional outputs, i.e., neural networks with multiple output nodes but no hidden nodes. We allow at the final layer tra...
Jyrki Kivinen, Manfred K. Warmuth
CORR
2008
Springer
162views Education» more  CORR 2008»
15 years 6 months ago
Welfare Undominated Groves Mechanisms
A common objective in mechanism design is to choose the outcome (for example, allocation of resources) that maximizes the sum of the agents' valuations, without introducing in...
Krzysztof R. Apt, Vincent Conitzer, Mingyu Guo, Ev...
JMLR
2008
169views more  JMLR 2008»
15 years 6 months ago
Multi-class Discriminant Kernel Learning via Convex Programming
Regularized kernel discriminant analysis (RKDA) performs linear discriminant analysis in the feature space via the kernel trick. Its performance depends on the selection of kernel...
Jieping Ye, Shuiwang Ji, Jianhui Chen
BMCBI
2004
165views more  BMCBI 2004»
15 years 6 months ago
Analysis of oligonucleotide array experiments with repeated measures using mixed models
Background: Two or more factor mixed factorial experiments are becoming increasingly common in microarray data analysis. In this case study, the two factors are presence (Patients...
Hao Li, Constance L. Wood, Thomas V. Getchell, Mar...
TCSV
2002
121views more  TCSV 2002»
15 years 6 months ago
Rate-constrained multihypothesis prediction for motion-compensated video compression
Abstract-- This article investigates linearly combined motion-compensated signals for video compression. In particular, we discuss multiple motion-compensated signals that are join...
Markus Flierl, Thomas Wiegand, Bernd Girod