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131
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NIPS
1997
15 years 1 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
BMCBI
2007
124views more  BMCBI 2007»
15 years 17 days ago
Protein structural similarity search by Ramachandran codes
Background: Protein structural data has increased exponentially, such that fast and accurate tools are necessary to access structure similarity search. To improve the search speed...
Wei-Cheng Lo, Po-Jung Huang, Chih-Hung Chang, Ping...
125
Voted
JMLR
2008
169views more  JMLR 2008»
15 years 16 days 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
119
Voted
BMCBI
2004
165views more  BMCBI 2004»
15 years 13 days 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...
116
Voted
ICDE
2010
IEEE
222views Database» more  ICDE 2010»
14 years 11 months ago
Finding Clusters in subspaces of very large, multi-dimensional datasets
Abstract— We propose the Multi-resolution Correlation Cluster detection (MrCC), a novel, scalable method to detect correlation clusters able to analyze dimensional data in the ra...
Robson Leonardo Ferreira Cordeiro, Agma J. M. Trai...