IEICE Technical Report

Online edition: ISSN 2432-6380

Volume 123, Number 311

Information-Based Induction Sciences and Machine Learning

Workshop Date : 2023-12-20 - 2023-12-21 / Issue Date : 2023-12-13

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Table of contents

IBISML2023-30
Improvement of SVMs with Composite Kernels by PCA for HSI Classification
Akito Tamura, Takuya Kitamura (KOSEN)
pp. 1 - 6

IBISML2023-31
Anomaly Detection by One-class Convolution Extreme Learning Machine Using Multiple Kernel
Yuta Okami, Takuya Kitamura (NIT, Toyama College)
pp. 7 - 12

IBISML2023-32
Stabilization and Acceleration of Stochastic Gradient Descent Based on Eigenvalue Decomposition of the Fisher Information Matrix
Masazumi Iida, Yoshinari Takeishi (Kyushu Univ.), Siyang Wang (Umea Univ.), Jun'ichi Takeuchi (Kyushu Univ.)
pp. 13 - 17

IBISML2023-33
Estimating Total Traffic Volume with Joint Matrix Factorization
Yuma Taguchi (TCRDL), Yoshinao Ishii, Takeyuki Sasai, Shintaro Fukushima (TMC), Katsushi Sanda (TCRDL)
pp. 18 - 24

IBISML2023-34
Anomaly detection by deep support data descriptions with pseudo-anomaly data
Shuta Tsuchio, Takuya Kitamura (NIT, Toyama college)
pp. 25 - 30

IBISML2023-35
Badminton Rally Analysis Using LSTM
Atsushi Yoshinaga, Masato Kiyama, Motoki Amagasaki (Kumamoto Univ.)
pp. 31 - 36

IBISML2023-36
On the benefits of Partial Stochastic Bayesian Neural Networks
Koki Sato, Daniel Andrade (Hiroshima Univ.)
pp. 37 - 41

IBISML2023-37
Causal Effect Estimation on Hierarchical Spatial Graph Data
Koh Takeuchi (Kyoto Univ.), Ryo Nishida (AIST), Hisashi Kashima (Kyoto Univ.), Masaki Onishi (AIST)
pp. 42 - 49

IBISML2023-38
A linear time approximation of Wasserstein distance with word embedding selection
Sho Otao (Kyoto Univ.), Makoto Yamada (OIST)
pp. 50 - 57

IBISML2023-39
Classification Error Analysis under Covariate Shift between Non-absolutely Continuous Distributions through neighbor-transfer-exponent
Mitsuhiro Fujikawa, Youhei Akimoto (Univ. of Tsukuba), Jun Sakuma (Tokyo Inst. of Tech.), Kazuto Fukuchi (Univ. of Tsukuba)
pp. 58 - 65

Note: Each article is a technical report without peer review, and its polished version will be published elsewhere.


The Institute of Electronics, Information and Communication Engineers (IEICE), Japan