Skip to search form
Skip to main content
Skip to account menu
Semantic Scholar
Semantic Scholar's Logo
Search 218,393,624 papers from all fields of science
Search
Sign In
Create Free Account
Cluster-weighted modeling
In data mining, cluster-weighted modeling (CWM) is an algorithm-based approach to non-linear prediction of outputs (dependent variables) from inputs…
Expand
Wikipedia
(opens in a new tab)
Create Alert
Alert
Related topics
Related topics
4 relations
Averaged one-dependence estimators
Cluster analysis
Data mining
Mixture model
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2012
2012
Generalized Linear Gaussian Cluster-Weighted Modeling
S. Ingrassia
,
S. Minotti
,
A. Punzo
,
G. Vittadini
2012
Corpus ID: 88519295
Cluster-Weighted Modeling (CWM) is a flexible mixture approach for modeling the joint probability of data coming from a…
Expand
2012
2012
An EM Algorithm for the Student-t Cluster-Weighted Modeling
S. Ingrassia
,
S. Minotti
,
Giuseppe Incarbone
Annual Conference of the Gesellschaft für…
2012
Corpus ID: 16951756
Cluster-Weighted Modeling is a flexible statistical framework for modeling local relationships in heterogeneous populations on…
Expand
2012
2012
Maximum Likelihood Estimation of Gaussian Cluster Weighted Models and Relationships with Mixtures of Regression
S. Ingrassia
,
S. Minotti
2012
Corpus ID: 88519069
Cluster-weighted modeling (CWM) is a mixture approach for modeling the joint probability of a response variable and a set of…
Expand
2010
2010
Cluster Weighted Modeling with Student-t components
S. Ingrassia
2010
Corpus ID: 60689411
We consider Cluster-Weighted Modeling in order to model functional dependence between some input and output variables based on…
Expand
2007
2007
Least-Mean-Square Training of Cluster-Weighted Modeling
I-Chun Lin
,
C. Liou
International Conference on Artificial Neural…
2007
Corpus ID: 28415194
Aside from the Expectation-Maximization (EM) algorithm, Least-Mean-Square (LMS) is devised to further train the model parameters…
Expand
2005
2005
Cluster-Weighted Modeling as a Basis for Non-Additive GFM
M. Hanmandlu
,
N. Verma
,
N. Ahmad
,
S. Vasikarla
The 14th IEEE International Conference on Fuzzy…
2005
Corpus ID: 286334
The cluster-weighted modeling (CWM) is a mixture density estimator around local models. To be specific, the input regions…
Expand
2003
2003
Cluster-weighted modeling as a basis for fuzzy modeling
M. Hanmandlu
,
V. Madasu
,
S. Vasikarla
Proceedings ITCC . International Conference on…
2003
Corpus ID: 6161603
Cluster-weighted modeling (CWM) is emerging as a versatile tool for modeling dynamical systems. It is a mixture density estimator…
Expand
2001
2001
Cluster-weighted modeling with multiclusters
L. Feldkamp
,
D. Prokhorov
,
T. Feldkamp
IJCNN'01. International Joint Conference on…
2001
Corpus ID: 60819260
Cluster-weighted modeling (CWM) was proposed by Gershenfeld (1999) for density estimation in joint input-output space. In the…
Expand
2001
2001
A new approach to cluster-weighted modeling
D. V. Prokhorov
,
L. Feldkamp
,
T. Feldkamp
IJCNN'01. International Joint Conference on…
2001
Corpus ID: 57703617
We discuss an approach to joint density estimation called cluster-weighted modeling (CWM). The base approach was originally…
Expand
2001
2001
Cluster-Weighted Modeling: Probabilistic Time Series Prediction, Characterization, and Synthesis
B. Schoner
,
N. Gershenfeld
2001
Corpus ID: 14557099
Cluster-weighted modeling, a mixture density estimator around local models, is presented as a framework for the analysis…
Expand
By clicking accept or continuing to use the site, you agree to the terms outlined in our
Privacy Policy
(opens in a new tab)
,
Terms of Service
(opens in a new tab)
, and
Dataset License
(opens in a new tab)
ACCEPT & CONTINUE