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Neural Computation - 巻 31 / 号 12
タイトル
著者
巻
号
ページ
年
PKV
Every Local Minimum Value Is the Global Minimum Value of Induced Model in Nonconvex Machine Learning
Kenji Kawaguchi, Jiaoyang Huang, Leslie Pack Kaelbling
31
12
2293–2323
2019
0.0
平均評価: 0.0 / 5
(0 件のレビュー)
Can Grid Cell Ensembles Represent Multiple Spaces?
Davide Spalla, Alexis Dubreuil, Sophie Rosay, Remi Monasson, Alessandro Treves
31
12
2324–2347
2019
0.0
平均評価: 0.0 / 5
(0 件のレビュー)
Replicating Neuroscience Observations on ML/MF and AM Face Patches by Deep Generative Model
Tian Han, Xianglei Xing, Jiawen Wu, Ying Nian Wu
31
12
2348–2367
2019
0.0
平均評価: 0.0 / 5
(0 件のレビュー)
Reinforcement Learning in Spiking Neural Networks with Stochastic and Deterministic Synapses
Mengwen Yuan, Xi Wu, Rui Yan, Huajin Tang
31
12
2368–2389
2019
0.0
平均評価: 0.0 / 5
(0 件のレビュー)
Bayesian Filtering with Multiple Internal Models: Toward a Theory of Social Intelligence
Takuya Isomura, Thomas Parr, Karl Friston
31
12
2390–2431
2019
0.0
平均評価: 0.0 / 5
(0 件のレビュー)
Safe Triplet Screening for Distance Metric Learning
Tomoki Yoshida, Ichiro Takeuchi, Masayuki Karasuyama
31
12
2432–2491
2019
0.0
平均評価: 0.0 / 5
(0 件のレビュー)
The Effect of Signaling Latencies and Node Refractory States on the Dynamics of Networks
Gabriel A. Silva
31
12
2492–2522
2019
0.0
平均評価: 0.0 / 5
(0 件のレビュー)
Spike-Based Winner-Take-All Computation: Fundamental Limits and Order-Optimal Circuits
Lili Su, Chia-Jung Chang, Nancy Lynch
31
12
2523–2561
2019
0.0
平均評価: 0.0 / 5
(0 件のレビュー)
On the Effect of the Activation Function on the Distribution of Hidden Nodes in a Deep Network
Philip M. Long, Hanie Sedghi
31
12
2562–2580
2019
0.0
平均評価: 0.0 / 5
(0 件のレビュー)
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