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Sophisticated Inference
| 順位 | タイトル | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| 著者 | 雑誌 | 巻 | 号 | ページ | 年 | PKVアクセス数 | |||
| 91 | From Function to Implementation: Exploring Degeneracy in Evolved Artificial Agents | ||||||||
| Zhimin Hu, Oğulcan Cingiler, Clifford Bohm, Larissa Albantakis | Neural Computation | 37 | 9 | 1677–1708 | 2025 | 40.15 | |||
| 平均評価: / 5 ( 件のレビュー) | |||||||||
| 92 | A Mathematical Motivation for Complex-Valued Convolutional Networks | ||||||||
| Mark Tygert, Joan Bruna, Soumith Chintala, Yann LeCun, Serkan Piantino | Neural Computation | 28 | 5 | 815–825 | 2016 | 39.91 | |||
| 平均評価: / 5 ( 件のレビュー) | |||||||||
| 93 | Ten Simple Rules for Organizing and Running a Successful Intensive Two-Week Course | ||||||||
| Gunnar Blohm, Paul Schrater, Konrad Körding | Neural Computation | 31 | 1 | 1–7 | 2019 | 39.89 | |||
| 平均評価: / 5 ( 件のレビュー) | |||||||||
| 94 | CosMIC: A Consistent Metric for Spike Inference from Calcium Imaging | ||||||||
| Stephanie Reynolds, Therese Abrahamsson, Per Jesper Sjöström, Simon R. Schultz, Pier Luigi Dragotti | Neural Computation | 30 | 10 | 2726–2756 | 2018 | 39.81 | |||
| 平均評価: / 5 ( 件のレビュー) | |||||||||
| 95 | Learning in Wilson-Cowan Model for Metapopulation | ||||||||
| Raffaele Marino, Lorenzo Buffoni, Lorenzo Chicchi, Francesca Di Patti, Diego Febbe | Neural Computation | 37 | 4 | 701–741 | 2025 | 39.75 | |||
| 平均評価: / 5 ( 件のレビュー) | |||||||||
| 96 | Decoding Hidden Cognitive States From Behavior and Physiology Using a Bayesian Approach | ||||||||
| Ali Yousefi, Ishita Basu, Angelique C. Paulk, Noam Peled, Emad N. Eskandar | Neural Computation | 31 | 9 | 1751–1788 | 2019 | 39.61 | |||
| 平均評価: / 5 ( 件のレビュー) | |||||||||
| 97 | Object Detection, Recognition, Deep Learning, and the Universal Law of Generalization | ||||||||
| Faris B. Rustom, Rohan Sharma, Haluk Öğmen, Arash Yazdanbakhsh | Neural Computation | 38 | 3 | 328–372 | 2026 | 39.24 | |||
| 平均評価: / 5 ( 件のレビュー) | |||||||||
| 98 | Hexagonal Grid Fields Optimally Encode Transitions in Spatiotemporal Sequences | ||||||||
| Nicolai Waniek | Neural Computation | 30 | 10 | 2691–2725 | 2018 | 39.2 | |||
| 平均評価: / 5 ( 件のレビュー) | |||||||||
| 99 | Estimating a Separably Markov Random Field from Binary Observations | ||||||||
| Yingzhuo Zhang, Noa Malem-Shinitski, Stephen A. Allsop, Kay M. Tye, Demba Ba | Neural Computation | 30 | 4 | 1046–1079 | 2018 | 39.04 | |||
| 平均評価: / 5 ( 件のレビュー) | |||||||||
| 100 | Learning Data Manifolds with a Cutting Plane Method | ||||||||
| SueYeon Chung, Uri Cohen, Haim Sompolinsky, Daniel D. Lee | Neural Computation | 30 | 10 | 2593–2615 | 2018 | 38.75 | |||
| 平均評価: / 5 ( 件のレビュー) | |||||||||