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Evaluation of learning systems : An artificial data-based approach

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/bf00115008openalex-snapshot
Machine Learning as an Experimental Science
inferredcites →https://doi.org/10.1016/b978-1-55860-036-2.50052-7openalex-snapshot
AN EMPIRICAL ANALYSIS OF EBL APPROACHES FOR LEARNING PLAN SCHEMATA
inferredcites →https://doi.org/10.1016/b978-1-55860-036-2.50100-4openalex-snapshot
REDUCING REDUNDANT LEARNING
inferredcites →https://doi.org/10.1016/b978-1-55860-141-3.50022-5openalex-snapshot
NEWBOOLE: A Fast GBML System
inferredcites →https://doi.org/10.21236/ada164453openalex-snapshot
Learning Internal Representations by Error Propagation
inferredcites →https://doi.org/10.2307/415721openalex-snapshot
Parallel Distributed Processing: Explorations in the microstructures of cognition. By David E. Rumelhart, James L. McClelland, and the PDP Research Group. Vol. I, Foundations; Vol. II, Psychological and biological models. Cambridge, MA: MIT Press, 1986. Pp. xx, 547; xii, 611.

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/bf00116899openalex-snapshot
Classification by Feature Partitioning
inferred← citeshttps://doi.org/10.1007/bfb0016999openalex-snapshot
Machine Learning — EWSL-91
inferred← citeshttps://doi.org/10.1016/0004-3702(94)00094-8openalex-snapshot
Noise modelling and evaluating learning from examples
inferred← citeshttps://doi.org/10.1016/b978-1-55860-247-2.50030-9openalex-snapshot
Artificial Universes - Towards a Systematic Approach to Evaluating Algorithms which Learn from Examples
inferred← citeshttps://doi.org/10.1109/69.929904openalex-snapshot
Debiasing training data for inductive expert system construction
inferred← citeshttps://doi.org/10.1142/s0218194099000310openalex-snapshot
AN INVESTIGATION ON THE USE OF MACHINE LEARNED MODELS FOR ESTIMATING SOFTWARE CORRECTABILITY
inferred← citeshttps://doi.org/10.1287/ijoc.11.3.278openalex-snapshot
Optimizing Expert Systems: Heuristics for Efficiently Generating Low-Cost Information Acquisition Strategies
inferred← citeshttps://doi.org/10.1287/isre.11.2.137.11777openalex-snapshot
Mean-Risk Trade-Offs in Inductive Expert Systems
inferred← citeshttps://doi.org/10.1287/isre.6.4.328openalex-snapshot
Improving the Performance Stability of Inductive Expert Systems Under Input Noise
inferred← citeshttps://doi.org/10.1287/isre.8.1.51openalex-snapshot
Redesigning Case Retrieval to Reduce Information Acquisition Costs
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