Rikiya Takahashi

80 Followers

6 SlideShares 80 Followers 111 Folgens

6 SlideShares 80 Followers 111 Folgens

convexity heterogeneity power-law agent-based modeling machine learning behavioral game theory discrete choice modeling residual clustering hyperbolic discounting piecewise-constant features inhomogeneous poisson process conditional density estimation diffusion kernel nonparametric method

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Large-Scale Nonparametric Estimation of Vehicle Travel Time Distributions

Vor 10 Jahren • 712 Aufrufe

Collective Response Spike Prediction for Mutually Interacting Consumers

Vor 10 Jahren • 992 Aufrufe

Predicting Preference Reversals via Gaussian Process Uncertainty Aversion

Vor 8 Jahren • 16375 Aufrufe

On the Dynamics of Machine Learning Algorithms and Behavioral Game Theory

Vor 7 Jahren • 7655 Aufrufe

Uncertainty Awareness in Integrating Machine Learning and Game Theory

Vor 7 Jahren • 12839 Aufrufe

Social Cost in Pandemic as Expected Convex Loss

Vor 3 Jahren • 952 Aufrufe

木と電話と選挙(causalTree)

Shota Yasui • Vor 7 Jahren

Tensor flow usergroup 2016 (公開版)

Hiroki Nakahara • Vor 7 Jahren

セールスアニマルになろう　スタートアップ初期の営業戦略

Takaaki Umada • Vor 8 Jahren

Recsys 2015: Making Meaningful Restaurant Recommendations at OpenTable

Sudeep Das, Ph.D. • Vor 8 Jahren

convexity heterogeneity power-law agent-based modeling machine learning behavioral game theory discrete choice modeling residual clustering hyperbolic discounting piecewise-constant features inhomogeneous poisson process conditional density estimation diffusion kernel nonparametric method