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Combining Multiple Criterion Systems for Improving Portfolio Performance
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/1097-4571(2000)9999:9999<::aid-asi1030>3.0.co;2-eopenalex-extracted
Predicting the effectiveness of na�ve data fusion on the basis of system characteristics
inferredcites →https://doi.org/10.1007/978-3-540-72523-7_41openalex-extracted
On the Diversity-Performance Relationship for Majority Voting in Classifier Ensembles
inferredcites →https://doi.org/10.1007/s10791-005-6994-4openalex-extracted
Comparing Rank and Score Combination Methods for Data Fusion in Information Retrieval
inferredcites →https://doi.org/10.1016/j.jempfin.2003.06.002openalex-extracted
Ranking mutual funds using unconventional utility theory and stochastic dominance
inferredcites →https://doi.org/10.1021/ci050034wopenalex-extracted
Consensus Scoring Criteria for Improving Enrichment in Virtual Screening
inferredcites →https://doi.org/10.1198/jasa.2005.s51openalex-extracted
Preparing for the Worst: Incorporating Downside Risk in Stock Market Investments
inferredcites →https://doi.org/10.3905/joi.2002.319527openalex-extracted
Estimation Risk in Morningstar Fund Ratings
inferredcites →https://doi.org/10.4018/978-1-59140-863-5.ch003openalex-extracted
Combinatorial Fusion Analysis
inferredcites →https://doi.org/10.4018/9781591408635.ch003openalex-extracted
Combinatorial Fusion Analysis
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/0471667196.ess7142openalex-snapshot
Ranking and Selection Among Mutual Funds
inferred← citeshttps://doi.org/10.1002/9781118445112.stat02633openalex-snapshot
Ranking and Selection Among Mutual Funds
inferred← citeshttps://doi.org/10.1007/978-1-4419-1764-5_6openalex-snapshot
Combinatorial Fusion for Improving Portfolio Performance
inferred← citeshttps://doi.org/10.1088/1742-6596/2050/1/012012openalex-snapshot
Deep Reinforcement Learning for Stock Recommendation
inferred← citeshttps://doi.org/10.1109/access.2020.3047057openalex-snapshot
Multi-Layer Combinatorial Fusion Using Cognitive Diversity
inferred← citeshttps://doi.org/10.1109/datacom.2019.00027openalex-snapshot
Combining Multiple Ranking Systems on the Generalized Permutation Rank Space
inferred← citeshttps://doi.org/10.1109/i-span.2012.23openalex-snapshot
Product Design Parameters Optimization Using Constrained Mixture Design and Combinatorial Fusion Analysis
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