Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Kurashima, Takeshi"'
Present bias, the tendency to overvalue immediate rewards while undervaluing future ones, is a well-known barrier to achieving long-term goals. As artificial intelligence and behavioral economics increasingly focus on this phenomenon, the need for ro
Externí odkaz:
http://arxiv.org/abs/2409.11225
In this study, we critically examine the foundational premise of algorithmic recourse - a process of generating counterfactual action plans (i.e., recourses) assisting individuals to reverse adverse decisions made by AI systems. The assumption underl
Externí odkaz:
http://arxiv.org/abs/2405.14264
Autor:
Takimoto, Yoshiaki, Tanaka, Yusuke, Iwata, Tomoharu, Okawa, Maya, Kim, Hideaki, Toda, Hiroyuki, Kurashima, Takeshi
Human activities generate various event sequences such as taxi trip records, bike-sharing pick-ups, crime occurrence, and infectious disease transmission. The point process is widely used in many applications to predict such events related to human a
Externí odkaz:
http://arxiv.org/abs/2401.15846
Time-inconsistency is a characteristic of human behavior in which people plan for long-term benefits but take actions that differ from the plan due to conflicts with short-term benefits. Such time-inconsistent behavior is believed to be caused by pre
Externí odkaz:
http://arxiv.org/abs/2302.08132
Autor:
Tanaka, Yusuke, Tanaka, Toshiyuki, Iwata, Tomoharu, Kurashima, Takeshi, Okawa, Maya, Akagi, Yasunori, Toda, Hiroyuki
Aggregate data often appear in various fields such as socio-economics and public security. The aggregate data are associated not with points but with supports (e.g., spatial regions in a city). Since the supports may have various granularities depend
Externí odkaz:
http://arxiv.org/abs/2206.12141
Autor:
Okawa, Maya, Iwata, Tomoharu, Tanaka, Yusuke, Toda, Hiroyuki, Kurashima, Takeshi, Kashima, Hisashi
Sequences of events including infectious disease outbreaks, social network activities, and crimes are ubiquitous and the data on such events carry essential information about the underlying diffusion processes between communities (e.g., regions, onli
Externí odkaz:
http://arxiv.org/abs/2105.11152
The importance of aggregated count data, which is calculated from the data of multiple individuals, continues to increase. Collective Graphical Model (CGM) is a probabilistic approach to the analysis of aggregated data. One of the most important oper
Externí odkaz:
http://arxiv.org/abs/2102.09191
Optimal Transport (OT) is being widely used in various fields such as machine learning and computer vision, as it is a powerful tool for measuring the similarity between probability distributions and histograms. In previous studies, OT has been defin
Externí odkaz:
http://arxiv.org/abs/2006.08866
Autor:
Tanaka, Yusuke, Tanaka, Toshiyuki, Iwata, Tomoharu, Kurashima, Takeshi, Okawa, Maya, Akagi, Yasunori, Toda, Hiroyuki
We propose a probabilistic model for inferring the multivariate function from multiple areal data sets with various granularities. Here, the areal data are observed not at location points but at regions. Existing regression-based models can only util
Externí odkaz:
http://arxiv.org/abs/1907.08350
Autor:
Okawa, Maya, Iwata, Tomoharu, Kurashima, Takeshi, Tanaka, Yusuke, Toda, Hiroyuki, Ueda, Naonori
Predicting when and where events will occur in cities, like taxi pick-ups, crimes, and vehicle collisions, is a challenging and important problem with many applications in fields such as urban planning, transportation optimization and location-based
Externí odkaz:
http://arxiv.org/abs/1906.08952