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Committee Date Time Place Paper Title / Authors Abstract Paper #
NLP, CCS 2018-06-10
Kyoto Kyoto Terrsa Performance Analysis of a Coherent Ising Machine with Hardware Constraints
Hirotake Ito, Yukio Murata (TUS), Hiroki Takesue (NTT), Kazuyuki Aihara (TU), Mikio Hasegawa (TUS) NLP2018-39 CCS2018-12
A fast solution method of combinational optimization problem using a Coherent Ising Machine has been developed. A method... [more] NLP2018-39 CCS2018-12
CCS 2018-03-26
Tokyo Tokyo Univ. of Sci. (Morito Memorial Hall) An Optimization Method for IEEE 802.11 WLAN Access Point Using Coherent Ising Machine
Yukio Murata, Yuhei Oyabu, Kaori Kuroda (Tokyo Univ. of Science), Kazuyuki Aihara (The Yniv. of Tokyo), Mikio Hasegawa (Tokyo Univ. of Science) CCS2017-34
under the environment of high density developments of IEEE 802.11 wireless LAN access points in area such as stations, m... [more] CCS2017-34
NLP 2017-07-13
Okinawa Miyako Island Marine Terminal Improving Performance of UCB1-tuned Algorithm by Lebesgue Spectrum Filter
Xinyu Cho, Kaori Kuroda, Yukio Murata (TUS), Song-Ju Kim (NIMS), Makoto Naruse (NICT), Mikio Hasegawa (TUS) NLP2017-36
In the researches on asynchronous chaotic CDMA, it has been shown that the sequences, which have negative autocorrelatio... [more] NLP2017-36
CCS 2017-03-10
Tokyo ELSI, TITECH Solving Asymmetric Traveling Salesman Problems by Coherent Ising Machine
Yukio Murata (Tokyo Univ. of Science), Hiroyuki Yasuda (Univ. of Tokyo), Kaori Kuroda (Tokyo Univ. of Science), Kazuyuki Aihara (Univ. of Tokyo), Mikio Hasegawa (Tokyo Univ. of Science) CCS2016-46
The effectiveness of high-speed combinatorial optimization method using Coherent Ising Machine (CIM) has been shown. Hop... [more] CCS2016-46
NC 2006-06-15
Okinawa OIST Drug-response prediction from microarray data using network-based de-noising
Tsuyoshi Kato (Univ. of Tokyo), Koh Miura, Yukio Murata (Tohoku Univ.), Kiyoshi Asai (Univ. of Tokyo), Paul B. Horton, Wataru Fujibuchi, Koji Tsuda (AIST)
Prediction of human cell response to anti-cancer drugs (compounds) from microarray data is a challenging problem, due to... [more] NC2006-16
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