236 search results - page 17 / 48 » Mixture models for analysis of melting temperature data |
NIPS
1998
14 years 11 months ago
1998
Dyadic data refers to a domain with two nite sets of objects in which observations are made for dyads, i.e., pairs with one element from either set. This type of data arises natur...
ICPR
2002
IEEE
15 years 10 months ago
2002
IEEE
This paper proposes the fractional component analysis (FCA), whose goal is to decompose the observed signal into component signals and recover their fractions. The uniqueness of o...
ICDM
2006
IEEE
2006
IEEE
A Probability Distribution Of Functional Random Variable With A Functional Data Analysis Application
15 years 3 months ago
Probability distributions are central tools for probabilistic modeling in data mining, and they lack in functional data analysis (FDA). In this paper we propose a probability dist...
ICML
2004
IEEE
15 years 10 months ago
2004
IEEE
Many clustering algorithms fail when dealing with high dimensional data. Principal component analysis (PCA) is a popular dimensionality reduction algorithm. However, it assumes a ...
CLASSIFICATION
2006
14 years 9 months ago
2006
Abstracts "Mixtures at the Interface" David Scott, Rice University Mixture modeling provides an effective framework for complex, high-dimensional data. The potential of m...