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PAKDD
2005
ACM
184views Data Mining» more  PAKDD 2005»
15 years 2 months ago
Adjusting Mixture Weights of Gaussian Mixture Model via Regularized Probabilistic Latent Semantic Analysis
Mixture models, such as Gaussian Mixture Model, have been widely used in many applications for modeling data. Gaussian mixture model (GMM) assumes that data points are generated fr...
Luo Si, Rong Jin
PAKDD
2005
ACM
180views Data Mining» more  PAKDD 2005»
15 years 2 months ago
Conditional Random Fields for Transmembrane Helix Prediction
Abstract. It is estimated that 20% of genes in the human genome encode for integral membrane proteins (IMPs) and some estimates are much higher. IMPs control a broad range of event...
Lior Lukov, Sanjay Chawla, W. Bret Church
PAKDD
2005
ACM
168views Data Mining» more  PAKDD 2005»
15 years 2 months ago
Adaptive Nonlinear Auto-Associative Modeling Through Manifold Learning
We propose adaptive nonlinear auto-associative modeling (ANAM) based on Locally Linear Embedding algorithm (LLE) for learning intrinsic principal features of each concept separatel...
Junping Zhang, Stan Z. Li
PAKDD
2005
ACM
164views Data Mining» more  PAKDD 2005»
15 years 2 months ago
Covariance and PCA for Categorical Variables
Covariances from categorical variables are defined using a regular simplex expression for categories. The method follows the variance definition by Gini, and it gives the covaria...
Hirotaka Niitsuma, Takashi Okada
PAKDD
2005
ACM
161views Data Mining» more  PAKDD 2005»
15 years 2 months ago
Online Algorithms for Mining Inter-stream Associations from Large Sensor Networks
We study the problem of mining frequent value sets from a large sensor network. We discuss how sensor stream data could be represented that facilitates efficient online mining and ...
K. K. Loo, Ivy Tong, Ben Kao
Data Mining
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