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Some thoughts about transfer learning. What role for the source domain?

International journal of approximate reasoning, 2024-03, Vol.166, p.109107-146, Article 109107

Cornuéjols, A.

2024

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Integer Programming and Combinatorial Optimization: 7th International IPCO Conference, Graz, Austria, June 9-11, 1999, Proceedings

1, 1999

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Reprint of: Some thoughts about transfer learning. What role for the source domain?

International journal of approximate reasoning, 2024-08, Vol.171, p.109146, Article 109146

Cornuéjols, A.

2024

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Biological detection of low radiation doses by combining results of two microarray analysis methods

Nucleic acids research, 2004-01, Vol.32 (1), p.e12-12

2004

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Gale-Shapley stable marriage problem revisited: Strategic issues and applications

Lecture notes in computer science, 1999, p.429-438

1999

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Characteristics and management of outpatients with history of or current atrial fibrillation: The observational French EPHA study

Archives of cardiovascular diseases, 2010-06, Vol.103 (6), p.376-387

2010

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Identifying Interface Elements Implied in Protein-Protein Interactions Using Statistical Tests and Frequent Item Sets

2008 IEEE International Conference on Bioinformatics and Biomedicine, 2008, p.78-83

2008

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Parity constrained k-edge-connected orientations

Lecture notes in computer science, 1999, p.191-201

1999

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On the separation of maximally violated mod-k cuts

Lecture notes in computer science, 1999, p.87-98

1999

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Ensemble Feature Ranking

Knowledge Discovery in Databases: PKDD 2004, 2004, p.267-278

2004

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Mixed Integer Programming Models: Portfolios with Combinatorial Constraints

Optimization Methods in Finance, 2018, p.161-172

2018

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Multi-Period Models: Simple Examples

Optimization Methods in Finance, 2018, p.197-211

2018

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Sensitivity of Mean–Variance Models to Input Estimation

Optimization Methods in Finance, 2018, p.124-139

2018

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Quadratic Programming Models: Mean–Variance Optimization

Optimization Methods in Finance, 2018, p.90-123

2018

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Dynamic Programming: Theory and Algorithms

Optimization Methods in Finance, 2018, p.212-224

2018

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Quadratic Programming: Theory and Algorithms

Optimization Methods in Finance, 2018, p.71-89

2018

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Dynamic Programming Models: the Binomial Pricing Model

Optimization Methods in Finance, 2018, p.238-247

2018

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Robust Optimization

Optimization Methods in Finance, 2018, p.289-304

2018

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Overview of Optimization Models

Optimization Methods in Finance, 2018, p.3-10

2018

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Linear Programming Models: Asset–Liability Management

Optimization Methods in Finance, 2018, p.35-52

2018

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Stochastic Programming: Theory and Algorithms

Optimization Methods in Finance, 2018, p.173-180

2018

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Conic Programming: Theory and Algorithms

Optimization Methods in Finance, 2018, p.277-288

2018

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Dynamic Programming Models: Multi-Period Portfolio Optimization

Optimization Methods in Finance, 2018, p.225-237

2018

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Linear Programming Models: Arbitrage and Asset Pricing

Optimization Methods in Finance, 2018, p.53-68

2018

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Stochastic Programming Models: Risk Measures

Optimization Methods in Finance, 2018, p.181-194

2018

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Some thoughts about transfer learning. What role for the source domain?

Integer Programming and Combinatorial Optimization: 7th International IPCO Conference, Graz, Austria, June 9-11, 1999, Proceedings

Reprint of: Some thoughts about transfer learning. What role for the source domain?

Biological detection of low radiation doses by combining results of two microarray analysis methods

Gale-Shapley stable marriage problem revisited: Strategic issues and applications

Characteristics and management of outpatients with history of or current atrial fibrillation: The observational French EPHA study

Identifying Interface Elements Implied in Protein-Protein Interactions Using Statistical Tests and Frequent Item Sets

Parity constrained k-edge-connected orientations

On the separation of maximally violated mod-k cuts

Ensemble Feature Ranking

Mixed Integer Programming Models: Portfolios with Combinatorial Constraints

Multi-Period Models: Simple Examples

Sensitivity of Mean–Variance Models to Input Estimation

Quadratic Programming Models: Mean–Variance Optimization

Dynamic Programming: Theory and Algorithms

Quadratic Programming: Theory and Algorithms

Dynamic Programming Models: the Binomial Pricing Model

Robust Optimization

Overview of Optimization Models

Linear Programming Models: Asset–Liability Management

Stochastic Programming: Theory and Algorithms

Conic Programming: Theory and Algorithms

Dynamic Programming Models: Multi-Period Portfolio Optimization

Linear Programming Models: Arbitrage and Asset Pricing

Stochastic Programming Models: Risk Measures

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