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Titlebook: Artificial Intelligence XXXVIII; 41st SGAI Internatio Max Bramer,Richard Ellis Conference proceedings 2021 Springer Nature Switzerland AG 2

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11#
發(fā)表于 2025-3-23 11:37:09 | 只看該作者
12#
發(fā)表于 2025-3-23 15:10:55 | 只看該作者
13#
發(fā)表于 2025-3-23 20:44:32 | 只看該作者
Sanja Kutnjak Ivkovi?,M. R. Haberfeldmantics should satisfy, instantiate such semantics from two popular graded based semantics, and study to which extent these principles are satisfied. These semantics will allow an observer to identify the most influential agents in a debate.
14#
發(fā)表于 2025-3-23 23:12:58 | 只看該作者
An Archive and a Tool: PDB and PyMOL,recursion. We briefly outline the text-based and visual specification languages, and the associated composable inductive programming development paradigm. The benefits of the approach and some plans for future development are also identified.
15#
發(fā)表于 2025-3-24 04:08:37 | 只看該作者
Extended Category Learning with Spiking Nets and Spike Timing Dependent Plasticityng system is comparable to other unsupervised machine learning systems. This presentation mechanism is extended to combine input feature value pairs to resolve the exclusive or problem. It is further refined to approximate co-variance of features to an arbitrary degree of precision.
16#
發(fā)表于 2025-3-24 08:01:34 | 只看該作者
17#
發(fā)表于 2025-3-24 14:21:03 | 只看該作者
Knowledge-Based Composable Inductive Programmingrecursion. We briefly outline the text-based and visual specification languages, and the associated composable inductive programming development paradigm. The benefits of the approach and some plans for future development are also identified.
18#
發(fā)表于 2025-3-24 17:03:30 | 只看該作者
19#
發(fā)表于 2025-3-24 20:47:55 | 只看該作者
20#
發(fā)表于 2025-3-24 23:24:47 | 只看該作者
Sanja Kutnjak Ivkovi?,M. R. Haberfeldolved by a Genetic Algorithm and a Univariate Estimation of Distribution Algorithm. We show that the new sub-space derived metrics can capture key learning steps in the algorithm run and how solution variable patterns that explain the fitness function may be captured in the principal component coefficients.
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