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» Regularization Methods for Additive Models
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140
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ICML
2005
IEEE
16 years 7 months ago
Reducing overfitting in process model induction
In this paper, we review the paradigm of inductive process modeling, which uses background knowledge about possible component processes to construct quantitative models of dynamic...
Will Bridewell, Narges Bani Asadi, Pat Langley, Lj...
ICML
2010
IEEE
15 years 7 months ago
High-Performance Semi-Supervised Learning using Discriminatively Constrained Generative Models
We develop a semi-supervised learning method that constrains the posterior distribution of latent variables under a generative model to satisfy a rich set of feature expectation c...
Gregory Druck, Andrew McCallum
CAE
2007
15 years 8 months ago
Liquid Penetration Modeling for Cloth Dyeing
This paper presents a model of cloth dyeing using the characteristics of the thread and weave pattern. The proposed dyeing model is based on Fick's second law that defines th...
Yuki Morimoto, Reiji Tsuruno, Kiyoshi Tomimatsu
143
Voted
ICCV
2005
IEEE
16 years 8 months ago
Geometric Invariants and Applications under Catadioptric Camera Model
This paper presents geometric invariants of points and their applications under central catadioptric camera model. Although the image has severe distortions under the model, we es...
Yihong Wu, Zhanyi Hu
292
Voted
FMCAD
1998
Springer
15 years 10 months ago
Combining Symbolic Model Checking with Uninterpreted Functions for Out-of-Order Processor Verification
We present a new approach to the verification of hardware systems with data dependencies using temporal logic symbolic model checking. As a benchmark we take Tomasulo's algori...
Sergey Berezin, Armin Biere, Edmund M. Clarke, Yun...