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Classifying Molecules Using a Sparse Probabilistic Kernel Binary Classifier
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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The Nature of Statistical Learning Theory
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Introduction to Statistical Pattern Recognition
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Comparison of topological descriptors for similarity-based virtual screening using multiple bioactive reference structures
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Multivariate Binary Discrimination by the Kernel Method
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Issues in Bayesian Analysis of Neural Network Models
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Note on Naive Bayes Based on Binary Descriptors in Cheminformatics
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Criterion for Evaluating the Predictive Ability of Nonlinear Regression Models without Cross-Validation
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Hydrophobicity versus electrophilicity: A new protocol toward quantitative structure–toxicity relationship
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Multi-channel PINN: investigating scalable and transferable neural networks for drug discovery
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QSAR Studies and Structure Property/Activity Relationships Applied in Pyrazine Derivatives as Antiproliferative Agents Against the BGC823
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Pairwise Neural Networks for Predicting Compound-Protein Interaction
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