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Technical Committee on Information-Based Induction Sciences and Machine Learning (IBISML)
Chair: Masashi Sugiyama (Univ. of Tokyo) Vice Chair: Toshihiro Kamishima (AIST), Koji Tsuda (Univ. of Tokyo)
Secretary: Tomoharu Iwata (NTT), Atsuyoshi Nakamura (Hokkaido Univ.)
Assistant: Yoshinobu Kawahara (Osaka Univ.), Taiji Suzuki (Univ.of Tokyo)

DATE:
Wed, Dec 20, 2023 12:50 - 16:50
Thu, Dec 21, 2023 10:30 - 15:50

PLACE:
(https://www.nii.ac.jp/about/access/)

TOPICS:
machine learning, etc.

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Wed, Dec 20 PM Invited Talk (1) (12:50 - 14:00)
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----- Opening ( 10 min. ) -----

Invited Talk: TBA
Hideaki Imamura (PFN)

----- Break ( 30 min. ) -----

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Wed, Dec 20 PM Machine Leanring (1) (14:30 - 15:45)
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(1) 14:30 - 14:55
Improvement of SVMs with Composite Kernels by PCA for HSI Classification
Akito Tamura, Takuya Kitamura (KOSEN)

(2) 14:55 - 15:20
Anomaly Detection by One-class Convolution Extreme Learning Machine Using Multiple Kernel
Yuta Okami, Takuya Kitamura (NIT, Toyama College)

(3) 15:20 - 15:45
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.)

----- Break ( 15 min. ) -----

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Wed, Dec 20 PM Machine Leanring (2) (16:00 - 16:50)
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(4) 16:00 - 16:25
Estimating Total Traffic Volume with Joint Matrix Factorization
Yuma Taguchi (TCRDL), Yoshinao Ishii, Takeyuki Sasai, Shintaro Fukushima (TMC), Katsushi Sanda (TCRDL)

(5) 16:25 - 16:50
Anomaly detection by deep support data descriptions with pseudo-anomaly data
Shuta Tsuchio, Takuya Kitamura (NIT, Toyama college)

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Thu, Dec 21 AM Machine Leanring (3) (10:30 - 11:45)
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(6) 10:30 - 10:55
Badminton Rally Analysis Using LSTM
Atsushi Yoshinaga, Masato Kiyama, Motoki Amagasaki (Kumamoto Univ.)

(7) 10:55 - 11:20
On the benefits of Partial Stochastic Bayesian Neural Networks
Koki Sato, Daniel Andrade (Hiroshima Univ.)

(8) 11:20 - 11:45
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)

----- lunch ( 105 min. ) -----

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Thu, Dec 21 PM Invited Talk (2) (13:30 - 14:30)
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(9) 13:30 - 14:30
Invited Talk: TBA
Yuta Suzuki (Toyota)

----- Break ( 30 min. ) -----

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Thu, Dec 21 PM Machine Leanring (4) (15:00 - 15:50)
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(10) 15:00 - 15:25
Causal Effect Estimation on Hierarchical Spatial Graph Data
Koh Takeuchi (Kyoto Univ.), Ryo Nishida (AIST), Hisashi Kashima (Kyoto Univ.), Masaki Onishi (AIST)

(11) 15:25 - 15:50
A linear time approximation of Wasserstein distance with word embedding selection
Sho Otao (Kyoto Univ.), Makoto Yamada (OIST)

# Information for speakers
General Talk will have 20 minutes for presentation and 5 minutes for discussion.


=== Technical Committee on Information-Based Induction Sciences and Machine Learning (IBISML) ===
# FUTURE SCHEDULE:

Sun, Mar 3, 2024 - Mon, Mar 4, 2024: Hiroshima Univ. Higashi-Hiroshima campus [Fri, Jan 5]

# SECRETARY:
Toshihiro Kamishima


Last modified: 2023-12-05 15:46:49


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