Neural Computation - 巻 34 / 号 4
| タイトル | |||||||||
|---|---|---|---|---|---|---|---|---|---|
| 著者 | 巻 | 号 | ページ | 年 | PKV | ||||
| Bayesian Brains and the Rényi Divergence | |||||||||
| Noor Sajid, Francesco Faccio, Lancelot Da Costa, Thomas Parr, Jürgen Schmidhuber | 34 | 4 | 829–855 | 2022 | 0.0 | ||||
| 平均評価: 0.0 / 5 (0 件のレビュー) | |||||||||
| Formulation and Emulation of Quantum-Inspired Dynamical Systems With Classical Analog Circuits | |||||||||
| A. J. Cressman, W. Wattanapanitch, I. Chuang, R. Sarpeshkar | 34 | 4 | 856–890 | 2022 | 1.0 | ||||
| 平均評価: 0.0 / 5 (0 件のレビュー) | |||||||||
| Neural Circuits for Dynamics-Based Segmentation of Time Series | |||||||||
| Tiberiu Teşileanu, Siavash Golkar, Samaneh Nasiri, Anirvan M. Sengupta, Dmitri B. Chklovskii | 34 | 4 | 891–938 | 2022 | 0.0 | ||||
| 平均評価: 0.0 / 5 (0 件のレビュー) | |||||||||
| Parameter Identification Problem in the Hodgkin-Huxley Model | |||||||||
| Jemy A. Mandujano Valle, Alexandre L. Madureira | 34 | 4 | 939–970 | 2022 | 1.0 | ||||
| 平均評価: 0.0 / 5 (0 件のレビュー) | |||||||||
| Adaptive Learning Neural Network Method for Solving Time–Fractional Diffusion Equations | |||||||||
| Babak Shiri, Hua Kong, Guo-Cheng Wu, Cheng Luo | 34 | 4 | 971–990 | 2022 | 0.0 | ||||
| 平均評価: 0.0 / 5 (0 件のレビュー) | |||||||||
| Understanding Dynamics of Nonlinear Representation Learning and Its Application | |||||||||
| Kenji Kawaguchi, Linjun Zhang, Zhun Deng | 34 | 4 | 991–1018 | 2022 | 0.0 | ||||
| 平均評価: 0.0 / 5 (0 件のレビュー) | |||||||||
| Comparison of the Representational Power of Random Forests, Binary Decision Diagrams, and Neural Networks | |||||||||
| So Kumano, Tatsuya Akutsu | 34 | 4 | 1019–1044 | 2022 | 0.0 | ||||
| 平均評価: 0.0 / 5 (0 件のレビュー) | |||||||||
| Research on Imbalanced Data Classification Based on Classroom-Like Generative Adversarial Networks | |||||||||
| Yancheng Lv, Lin Lin, Jie Liu, Hao Guo, Changsheng Tong | 34 | 4 | 1045–1073 | 2022 | 0.0 | ||||
| 平均評価: 0.0 / 5 (0 件のレビュー) | |||||||||