E-LIB Suche - Ergebnisse für: Kim, Hideaki

1

MAP inference algorithms without approximation for collecti..:

Akagi, Yasunori ; Marumo, Naoki ; Kim, Hideaki..
Machine Learning. 112 (2022) 1 - p. 99-129 , 2022

2

Analyzing Temporal Dynamics of Consumer's Behavior Based on..:

KIM, Hideaki ; TAKAYA, Noriko ; SAWADA, Hiroshi
IEICE Transactions on Information and Systems. E100.D (2017) 4 - p. 693-703 , 2017

Link: https://doi.org/10.1587/..

3

Scaling Locally Linear Embedding:

, In: Proceedings of the 2017 ACM International Conference on Management of Data,

Fujiwara, Yasuhiro ; Marumo, Naoki ; Blondel, Mathieu... - p. 1479-1492 , 2017

Link: https://dl.acm.org/doi/1..

4

Tracking Temporal Dynamics of Purchase Decisions via Hierar..:

, In: Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management,

Kim, Hideaki ; Takaya, Noriko ; Sawada, Hiroshi - p. 1389-1398 , 2014

Link: https://dl.acm.org/doi/1..

5

Estimating nonstationary input signals from a single neuron..:

Kim, Hideaki ; Shinomoto, Shigeru
Physical Review E. 86 (2012) 5 - p. , 2012

Link: https://doi.org/10.1103/..

6

Elemental Spiking Neuron Model for Reproducing Diverse Firi..:

Yamauchi, Satoshi ; Kim, Hideaki ; Shinomoto, Shigeru
Frontiers in Computational Neuroscience. 5 (2011) - p. , 2011

Link: https://doi.org/10.3389/..

7

Neurons as ideal change-point detectors:

Kim, Hideaki ; Richmond, Barry J. ; Shinomoto, Shigeru
Journal of Computational Neuroscience. 32 (2011) 1 - p. 137-146 , 2011

Link: https://doi.org/10.1007/..

8

Dynamical behavior of multi-timescale adaptive threshold mo..:

Yamauchi, Satoshi ; Kim, Hideaki ; Shinomoto, Shigeru
Neuroscience Research. 68 (2010) - p. e434 , 2010

Link: https://doi.org/10.1016/..

9

Detecting a change point by a single neuron:

Kim, Hideaki ; Richmond, Barry J. ; Shinomoto, Shigeru
Neuroscience Research. 65 (2009) - p. S133 , 2009

Link: https://doi.org/10.1016/..

10

Neuronal firing patterns and cerebral cortical functions:

Shinomoto, Shigeru ; Kim, Hideaki ; Shimokawa, Takeaki
BMC Neuroscience. 10 (2009) S1 - p. , 2009

Link: https://doi.org/10.1186/..

11

Relating Neuronal Firing Patterns to Functional Differentia..:

Shinomoto, Shigeru ; Kim, Hideaki ; Shimokawa, Takeaki...
PLoS Computational Biology. 5 (2009) 7 - p. e1000433 , 2009

Link: https://doi.org/10.1371/..

12

Relationship between fat distribution and lipid and apolipo..:

OKADA, TOMOO ; SATO, YOSHIYUKI ; YAMAZAKI, HIROTAKA...
Pediatrics International. 40 (2007) 1 - p. 35-40 , 2007

Link: https://doi.org/10.1111/..

13

4.P.122 Apolipoprotein concentrations and postheparin hepat..:

Okada, Tomoo ; Sato, Yoshiyuki ; Hara, Mitsuhiko...
Atherosclerosis. 134 (1997) 1-2 - p. 321 , 1997

Link: https://doi.org/10.1016/..

14

Meta-Learning for Neural Network-based Temporal Point Proce..:

Takimoto, Yoshiaki ; Tanaka, Yusuke ; Iwata, Tomoharu...
http://arxiv.org/abs/2401.15846. , 2024

Link: http://arxiv.org/abs/240..

15

Non-approximate Inference for Collective Graphical Models o..:

Akagi, Yasunori ; Marumo, Naoki ; Kim, Hideaki..
http://arxiv.org/abs/2102.09191. , 2021

Link: http://arxiv.org/abs/210..