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07/01/2023
Causal Structure Learning by Using Intersection of Markov Blankets
In this paper, we introduce a novel causal structure learning algorithm ...
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04/18/2023
CF-VAE: Causal Disentangled Representation Learning with VAE and Causal Flows
Learning disentangled representations is important in representation lea...
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03/31/2023
Domain Knowledge integrated for Blast Furnace Classifier Design
Blast furnace modeling and control is one of the important problems in t...
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04/20/2022
Gaussian mixture modeling of nodes in Bayesian network according to maximal parental cliques
This paper uses Gaussian mixture model instead of linear Gaussian model ...
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11/15/2021
An adaptive dimension reduction algorithm for latent variables of variational autoencoder
Constructed by the neural network, variational autoencoder has the overf...
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07/06/2021
Transfer Learning in Information Criteria-based Feature Selection
This paper investigates the effectiveness of transfer learning based on ...
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06/27/2021
Online Interaction Detection for Click-Through Rate Prediction
Click-Through Rate prediction aims to predict the ratio of clicks to imp...
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04/10/2021
Discovering Categorical Main and Interaction Effects Based on Association Rule Mining
With the growing size of data sets, feature selection becomes increasing...
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04/10/2021
Random Intersection Chains
Interactions between several features sometimes play an important role i...
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09/05/2018
Knowledge Integrated Classifier Design Based on Utility Optimization
This paper proposes a systematic framework to design a classification mo...
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05/31/2018
Asymptotic performance of regularized multi-task learning
This paper analyzes asymptotic performance of a regularized multi-task l...
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10/09/2017