Using financial risk measures for analyzing generalization performance of machine learning models (Q889281): Difference between revisions

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@@ description / en / description / en @@
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-.1016/j.neunet.2014.05.006
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+Minimum distance to the complement of a convex set: Duality result
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+Support-vector networks
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+Estimating the support of a high-dimensional distribution
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+Q3093392
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+Support Vector Machines
@@ Property / cites work: Support Vector Machines / rank @@
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+A Unified Classification Model Based on Robust Optimization
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+Robust classification and regression using support vector machines
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+Robustness and regularization of support vector machines
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@@ Property / DBLP publication ID @@
+journals/nn/TakedaK14
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@@ Property / DOI @@
+.1016/J.NEUNET.2014.05.006
@@ Property / DOI: 10.1016/J.NEUNET.2014.05.006 / rank @@
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+Interaction between financial risk measures and machine learning methods
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+Recommender Run: Recommender Run 3
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+Deep-learning models for forecasting financial risk premia and their interpretations
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+Recommender Run: Recommender Run 3
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+Encoded value-at-risk: a machine learning approach for portfolio risk measurement
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+Similarity Score: 0.8371278Amount 0.8371278
Unit 1
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+APPLYING ECONOMIC MEASURES TO LAPSE RISK MANAGEMENT WITH MACHINE LEARNING APPROACHES
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+Similarity Score: 0.8333765Amount 0.8333765
Unit 1
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+Recommender Run: Recommender Run 3
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+Modeling default risk with support vector machines
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+Similarity Score: 0.83250517Amount 0.83250517
Unit 1
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 Unit
+Recommender Run: Recommender Run 3
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+MEASURING MODEL RISK IN FINANCIAL RISK MANAGEMENT AND PRICING
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+Similarity Score: 0.8320621Amount 0.8320621
Unit 1
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+The Performance of Risk Prediction Models
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+Similarity Score: 0.83049583Amount 0.83049583
Unit 1
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 Unit
+Recommender Run: Recommender Run 3