Zobrazeno 1 - 10
of 43 356
pro vyhledávání: '"A. Yokoo"'
Facility location games provide an abstract model of mechanism design. In such games, a mechanism takes a profile of $n$ single-peaked preferences over an interval as an input and determines the location of a facility on the interval. In this paper,
Externí odkaz:
http://arxiv.org/abs/2410.12884
Autor:
Schlueter, TJ, Yokoo, Makoto
We introduce friend- and enemy-oriented hedonic games with strangers (FOHGS and EOHGS respectively), two classes of hedonic games wherein agents are classified as friends, enemies, or strangers under the assumption that strangers will become either f
Externí odkaz:
http://arxiv.org/abs/2409.16579
This paper considers a novel online fair division problem involving multiple agents in which a learner observes an indivisible item that has to be irrevocably allocated to one of the agents while satisfying a fairness and efficiency constraint. Exist
Externí odkaz:
http://arxiv.org/abs/2408.12845
Autor:
Aziz, Haris, Huang, Xin, Kimura, Kei, Saha, Indrajit, Sun, Zhaohong, Suzuki, Mashbat, Yokoo, Makoto
We consider the problem of fair allocation of indivisible items with subsidies when agents have weighted entitlements. After highlighting several important differences from the unweighted case, we present several results concerning weighted envy-free
Externí odkaz:
http://arxiv.org/abs/2408.08711
Interdicting a criminal with limited police resources is a challenging task as the criminal changes location over time. The size of the large transportation network further adds to the difficulty of this scenario. To tackle this issue, we consider th
Externí odkaz:
http://arxiv.org/abs/2406.14514
An online decision-making problem is a learning problem in which a player repeatedly makes decisions in order to minimize the long-term loss. These problems that emerge in applications often have nonlinear combinatorial objective functions, and devel
Externí odkaz:
http://arxiv.org/abs/2404.17158
The short video-sharing services that allow users to post 10-30 second videos (e.g., YouTube Shorts and TikTok) have attracted a lot of attention in recent years. However, conventional video copy detection (VCD) methods mainly focus on general video-
Externí odkaz:
http://arxiv.org/abs/2403.18158
Autor:
Cho, Sung-Ho, Kimura, Kei, Liu, Kiki, Liu, Kwei-guu, Liu, Zhengjie, Sun, Zhaohong, Yahiro, Kentaro, Yokoo, Makoto
The theory of two-sided matching has been extensively developed and applied to many real-life application domains. As the theory has been applied to increasingly diverse types of environments, researchers and practitioners have encountered various fo
Externí odkaz:
http://arxiv.org/abs/2402.01084
Autor:
Aehle, M., Alme, J., Arata, C., Arsene, I., Bearden, I., Bodova, T., Borshchov, V., Bourrion, O., Bregant, M., Brink, A. van den, Buchakchiev, V., Buhl, A., Chujo, T., Dufke, L., Eikeland, V., Fasel, M., Gauger, N., Gautam, A., Ghimouz, A., Goto, Y., Guernane, R., Hachiya, T., Hassan, H., He, L., Helstrup, H., Huhta, L., Inaba, M., Inukai, T., Isidori, T., Jonas, F., Kawaguchi, T., Keidel, R., Kim, M., Kozhuharov, V., Kumaoka, T., Kusch, L., Loizides, C., Melikyan, Y., Miake, Y., Minafra, N., Nystrand, J., Novitzky, N., Øekland, T., Oyama, K., Park, H., Park, J., Pascal, I., Peitzmann, T., Protsenko, M., Räsänen, S. S., Rarbi, F., Rauch, M., Rehman, A., Richter, M., Röhrich, D., Røed, K., Rusu, A., Rytkönen, H., Sakai, S., Sato, K., Schilling, A., Shimizu, S., Shimomura, M., Simeonov, R., Solheim, E., Sugitate, T., Tambave, G., Takaki, D. Tapia, Tourres, D., Tymchuk, I., Yi, J., Yin, Z., Ullaland, K., Yang, S., Yokoo, T., Zhou, D., Zillien, S.
Publikováno v:
JINST 19 P07006 (2024)
We present the performance of a full-length prototype of the ALICE Forward Calorimeter (FoCal). The detector is composed of a silicon-tungsten electromagnetic sampling calorimeter with longitudinal and transverse segmentation (FoCal-E) of about 20$X_
Externí odkaz:
http://arxiv.org/abs/2311.07413
Autor:
Yokoo, Shuhei, Zhu, Peifei, Ishikawa, Yuchi, Tanaka, Mikihiro, Kondo, Masayoshi, Kataoka, Hirokatsu
Large web crawl datasets have already played an important role in learning multimodal features with high generalization capabilities. However, there are still very limited studies investigating the details or improvements of data design. Recently, a
Externí odkaz:
http://arxiv.org/abs/2310.14581