Multi-test Decision Tree and its Application to Microarray Data Classification [PDF]
, 2014 Objective: The desirable property of tools used to investigate biological data is easy to understand models and predictive decisions. Decision trees are particularly promising in this regard due to their comprehensible nature that resembles the ...
Marcin Czajkowski +5 more
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Vector search using method of clustering using ensemble of oblivious trees
Научно-технический вестник информационных технологий, механики и оптикиInformation retrieval using machine learning algorithms is based on transforming the original multimodal documents into vector representations. These vectors are then indexed, and the search is performed within this index.
N. A. Tomilov +3 more
doaj +1 more source
Comparative analysis of machine learning algorithms for predicting Dubai property prices
Frontiers in Applied Mathematics and StatisticsIntroductionPredicting property prices is a crucial task in the real estate market, and machine learning algorithms offer valuable tools for accurate predictions. In this study, we introduce a comprehensive comparison of eight well-known machine learning
Abdulsalam Elnaeem Balila +1 more
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IMPLEMENTASI METODE RANDOM FOREST DALAM MEMPREDIKSI SINYAL PERGERAKAN SAHAM
E-Jurnal MatematikaTrading involves purchasing stocks at low prices and then selling them at high prices to generate profits in a short period. Although it offers significant gains, trading is considered a high-risk activity.
MOCH. ANJAS APRIHARTHA +2 more
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Monitoring land cover dynamics in the Bahr Al-Najaf wetland: A transferable remote sensing framework for inland and coastal wetland management (2002–2025) [PDF]
Estuarine Management and TechnologiesThe Bahr Al-Najaf depression is a unique geological and ecological feature in Iraq that has undergone significant environmental transformations over the past two decades. This study quantifies the spatiotemporal dynamics of Land Use and Land Cover (LULC)
Emad A. Al Helaly +2 more
doaj +3 more sources
Machine Learning in Slope Stability: A Review with Implications for Landslide Hazard Assessment
GeoHazardsSlope failures represent one of the most serious geotechnical hazards, which can have severe consequences for personnel, equipment, infrastructure, and other aspects of a mining operation.
Miguel Trinidad, Moe Momayez
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Revista Brasileira de Fruticultura, 2015 The traditional method of net present value (NPV) to analyze the economic profitability of an investment (based on a deterministic approach) does not adequately represent the implicit risk associated with different but correlated input variables. Using a
GERMÁN LOBOS +4 more
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Auditable PQD Classification and Domain Transfer Analysis With Explainable Boosting Machines
IEEE AccessPower quality disturbance (PQD) classifiers operate as decision support tools in protection systems, yet high-accuracy models provide no mechanism for engineers to verify that a classification is grounded in the physical thresholds of IEEE Std 1159 ...
Edson Jose Pacheco +2 more
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Decision procedures for families of deterministic pushdown automata [PDF]
The existence and complexity of decision procedures for families of deterministic pushdown automata are investigated, with special emphasis on positive decidability results for those questions, such as equivalence, which are known to become ...
Valiant, Leslie
core
Computable lower bounds for deterministic parameter estimation [PDF]
, 2007 This paper is primarily tutorial in nature and presents a simple approach(norm minimization under linear constraints) for deriving computable lower bounds on the MSE of deterministic parameter estimators with a clear interpretation of the bounds. We also
Chaumette, Eric +7 more
core +1 more source