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» Input Modeling Using Quantile Statistical Methods
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179
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PRIB
2010
Springer
192views Bioinformatics» more  PRIB 2010»
15 years 1 months ago
Structured Output Prediction of Anti-cancer Drug Activity
We present a structured output prediction approach for classifying potential anti-cancer drugs. Our QSAR model takes as input a description of a molecule and predicts the activity...
Hongyu Su, Markus Heinonen, Juho Rousu
126
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EUSFLAT
2009
136views Fuzzy Logic» more  EUSFLAT 2009»
15 years 16 days ago
Fuzzy Continuous Evaluation in Training Systems Based on Virtual Reality
The approach of continuous evaluation is an important tool in the learning process. However, only recently it was applied in training based on virtual reality. This paper presents ...
Ronei Moraes, Liliane Machado
204
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JORS
2010
189views more  JORS 2010»
14 years 9 months ago
Monte Carlo scenario generation for retail loan portfolios
Monte Carlo simulation is a common method for studying the volatility of market traded instruments. It is less employed in retail lending, because of the inherent nonlinearities in...
J. L. Breeden, D. Ingram
102
Voted
EMNLP
2006
15 years 4 months ago
A Discriminative Model for Tree-to-Tree Translation
This paper proposes a statistical, treeto-tree model for producing translations. Two main contributions are as follows: (1) a method for the extraction of syntactic structures wit...
Brooke Cowan, Ivona Kucerova, Michael Collins
155
Voted
CORR
2012
Springer
232views Education» more  CORR 2012»
13 years 10 months ago
Smoothing Proximal Gradient Method for General Structured Sparse Learning
We study the problem of learning high dimensional regression models regularized by a structured-sparsity-inducing penalty that encodes prior structural information on either input...
Xi Chen, Qihang Lin, Seyoung Kim, Jaime G. Carbone...