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» Neuro-Wavelet Parametric Modeling
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99
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EMNLP
2007
15 years 1 months ago
Bayesian Document Generative Model with Explicit Multiple Topics
In this paper, we proposed a novel probabilistic generative model to deal with explicit multiple-topic documents: Parametric Dirichlet Mixture Model(PDMM). PDMM is an expansion of...
Issei Sato, Hiroshi Nakagawa
78
Voted
WSC
2008
15 years 2 months ago
Control variate technique: A constructive approach
The technique of control variates requires that the user identify a set of variates that are correlated with the estimation variable and whose means are known to the user. We rela...
Tarik Borogovac, Pirooz Vakili
99
Voted
NIPS
2003
15 years 1 months ago
A Computational Geometric Approach to Shape Analysis in Images
We present a geometric approach to statistical shape analysis of closed curves in images. The basic idea is to specify a space of closed curves satisfying given constraints, and e...
Anuj Srivastava, Xiuwen Liu, Washington Mio, Eric ...
76
Voted
ECIS
2000
15 years 1 months ago
Prediction of Insolvency of Life Insurers Through Neural Networks
Past research studies have documented the failure of the Insurance Regulatory Information System (IRIS) to provide adequate warning of insurer financial distress or insolvency. As ...
Ernest P. Goss, George S. Vozikis
107
Voted
CAD
2006
Springer
15 years 14 days ago
Repairing CAD model errors based on the design history
For users of CAD data, few things are as frustrating as receiving unusable, poor quality data. Users often waste time fixing or rebuilding such data from scratch on the basis of p...
Jeongsam Yang, Soonhung Han