Sciweavers

2190 search results - page 396 / 438
» Mixtures of Gaussian Processes
Sort
View
ICML
2006
IEEE
15 years 10 months ago
Local distance preservation in the GP-LVM through back constraints
The Gaussian process latent variable model (GP-LVM) is a generative approach to nonlinear low dimensional embedding, that provides a smooth probabilistic mapping from latent to da...
Joaquin Quiñonero Candela, Neil D. Lawrence
ICML
2006
IEEE
15 years 10 months ago
Collaborative ordinal regression
Ordinal regression has become an effective way of learning user preferences, but most of research only focuses on single regression problem. In this paper we introduce collaborati...
Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Krieg...
ISBI
2002
IEEE
15 years 10 months ago
Automatic segmentation of mammographic masses using fuzzy shadow and maximum-likelihood analysis
This study attempted to accurately segment tumors in mammograms. Although this task is considered to be a preprocessing step in a computer analysis program, it plays an important ...
Lisa Kinnard, Shih-Chung Ben Lo, Paul C. Wang, Mat...
RECOMB
2009
Springer
15 years 10 months ago
A Robust Bayesian Two-Sample Test for Detecting Intervals of Differential Gene Expression in Microarray Time Series
Abstract. Understanding the regulatory mechanisms that are responsible for an organism's response to environmental changes is an important question in molecular biology. A fir...
Oliver Stegle, Katherine J. Denby, David L. Wild, ...
KDD
2007
ACM
132views Data Mining» more  KDD 2007»
15 years 10 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...