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Home > Advances in Knowledge Discovery and Data Mining: 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part I > Latent Patient Profile Modelling and Applications with Mixed-Variate Restricted Boltzmann Machine
Advances in Knowledge Discovery and Data Mining: 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part I |
Jian Pei; Vincent S. Tseng; Longbing Cao; Hiroshi Motoda; Guandong Xu
Springer Berlin Heidelberg
Advances in Knowledge Discovery and Data Mining: 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part I
Latent Patient Profile Modelling and Applications with Mixed-Variate Restricted Boltzmann Machine
Authors

Tu Dinh Nguyen; Truyen Tran; Dinh Phung; Svetha Venkatesh

ARI Id

1664708086351_2839218

Access

Not Available Free

Pages

123-135

DOI

10.1007/978-3-642-37453-1_11

Chapter URL

https://rd.springer.com/chapter/10.1007/978-3-642-37453-1_11

Table of Contents of Book
Showing 1 to 20 of 51 entries
Chapters/HeadingsAuthor(s)PagesInfo
Front Matter
Discovering Local Subgroups, with an Application to Fraud Detection
Rob M. Konijn; Wouter Duivesteijn; Wojtek Kowalczyk; Arno Knobbe
1-12
PUF-Tree: A Compact Tree Structure for Frequent Pattern Mining of Uncertain Data
Carson Kai-Sang Leung; Syed Khairuzzaman Tanbeer
13-25
Frequent Pattern Mining in Attributed Trees
Claude Pasquier; Jérémy Sanhes; Frédéric Flouvat; Nazha Selmaoui-Folcher
26-37
Mining Frequent Patterns from Human Interactions in Meetings Using Directed Acyclic Graphs
Anna Fariha; Chowdhury Farhan Ahmed; Carson Kai-Sang Leung; S. M. Abdullah; Longbing Cao
38-49
ClaSP: An Efficient Algorithm for Mining Frequent Closed Sequences
Antonio Gomariz; Manuel Campos; Roque Marin; Bart Goethals
50-61
Efficient Mining of Contrast Patterns on Large Scale Imbalanced Real-Life Data
Jinjiu Li; Can Wang; Wei Wei; Mu Li; Chunming Liu
62-73
Online Cross-Lingual PLSI for Evolutionary Theme Patterns Analysis
Xin Xin; Kun Zhuang; Ying Fang; Heyan Huang
74-85
F-Trail: Finding Patterns in Taxi Trajectories
Yasuko Matsubara; Lei Li; Evangelos Papalexakis; David Lo; Yasushi Sakurai; Christos Faloutsos
86-98
Mining Appliance Usage Patterns in Smart Home Environment
Yi-Cheng Chen; Yu-Lun Ko; Wen-Chih Peng; Wang-Chien Lee
99-110
Computational Models of Stress in Reading Using Physiological and Physical Sensor Data
Nandita Sharma; Tom Gedeon
111-122
Latent Patient Profile Modelling and Applications with Mixed-Variate Restricted Boltzmann Machine
Tu Dinh Nguyen; Truyen Tran; Dinh Phung; Svetha Venkatesh
123-135
MassBayes: A New Generative Classifier with Multi-dimensional Likelihood Estimation
Sunil Aryal; Kai Ming Ting
136-148
Fast and Effective Single Pass Bayesian Learning
Nayyar A. Zaidi; Geoffrey I. Webb
149-160
Sparse Reductions for Fixed-Size Least Squares Support Vector Machines on Large Scale Data
Raghvendra Mall; Johan A. K. Suykens
161-173
Discovery of Regional Co-location Patterns with k-Nearest Neighbor Graph
Feng Qian; Kevin Chiew; Qinming He; Hao Huang; Lianhang Ma
174-186
Spectral Decomposition for Optimal Graph Index Prediction
Liyan Song; Yun Peng; Byron Choi; Jianliang Xu; Bingsheng He
187-200
Patterns amongst Competing Task Frequencies: Super-Linearities, and the Almond-DG Model
Danai Koutra; Vasileios Koutras; B. Aditya Prakash; Christos Faloutsos
201-212
Node Classification in Social Network via a Factor Graph Model
Huan Xu; Yujiu Yang; Liangwei Wang; Wenhuang Liu
213-224
Fast Graph Stream Classification Using Discriminative Clique Hashing
Lianhua Chi; Bin Li; Xingquan Zhu
225-236
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 51 entries
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