Yoshihiko Hasegawa

发表

Probabilistic Program Evolution

Hitoshi Iba, Yoshihiko Hasegawa, Topon Kumar Paul, 2009 .

Probabilistic Program Evolution

Hitoshi Iba, Yoshihiko Hasegawa, Topon Kumar Paul, 2009 .

Optimizing Programs with Estimation of Bayesian Network

Hitoshi Iba, Yoshihiko Hasegawa, H. Iba, 2006, 2006 IEEE International Conference on Evolutionary Computation.

Progress of powder production technology.

Yoshihiko Hasegawa, 1989 .

Learning non-linear ranking functions for web search using probabilistic model building GP

Danushka Bollegala, Hitoshi Iba, Hiroyuki Sato, 2013, 2013 IEEE Congress on Evolutionary Computation.

Evaluating the phase dynamics of coupled oscillators via time-variant topological features pdf

Yoshihiko Hasegawa, Kazuha Itabashi, Quoc Hoan Tran, 2020, Physical review. E.

Circadian clocks optimally adapt to sunlight for reliable synchronization

Yoshihiko Hasegawa, Masanori Arita, 2014, Journal of The Royal Society Interface.

Multi-dimensional cellular information processing of dynamical patterns

Yoshihiko Hasegawa, 2017 .

Multimodal Search with Immune Based Genetic Programming

Hitoshi Iba, Yoshihiko Hasegawa, H. Iba, 2004, ICARIS.

Scale-variant topological information for characterizing complex networks

Yoshihiko Hasegawa, Quoc-Hoan Tran, Van Tuan Vo, 2018, Physical review. E.

Multidimensional biochemical information processing of dynamical patterns.

Yoshihiko Hasegawa, 2018, Physical review. E.

Estimation of distribution algorithm based on probabilistic grammar with latent annotations

Hitoshi Iba, Yoshihiko Hasegawa, H. Iba, 2007, 2007 IEEE Congress on Evolutionary Computation.

Topological Persistence Machine of Phase Transitions pdf

Mark Chen, Yoshihiko Hasegawa, Quoc Hoan Tran, 2020, Physical review. E.

Topological time-series analysis with delay-variant embedding.

Yoshihiko Hasegawa, Quoc Hoan Tran, Q. Tran, 2018, Physical review. E.

Multimodal Search with Immune Based Genetic Programming

Hitoshi Iba, Yoshihiko Hasegawa, 2004, ICARIS.

Latent Variable Model for Estimation of Distribution Algorithm Based on a Probabilistic Context-Free Grammar

Hitoshi Iba, Yoshihiko Hasegawa, H. Iba, 2009, IEEE Transactions on Evolutionary Computation.

Gradient Boosts the Approximate Vanishing Ideal

Yoshihiko Hasegawa, Hiroshi Kera, Yoshihiko Hasegawa, 2019, AAAI.

Pressure regulating device for self adjusting valve

Yoshihiko Hasegawa, Osamu Miyata, 1987 .

Optimal implementations for reliable circadian clocks.

Yoshihiko Hasegawa, Masanori Arita, 2014, Physical review letters.

Estimation of Distribution Algorithm Based on PCFG-LA Mixture Model

Hitoshi Iba, Yoshihiko Hasegawa, 2009 .

Monomial-agnostic computation of vanishing ideals pdf

Yoshihiko Hasegawa, Hiroshi Kera, 2021, ArXiv.

Spurious Vanishing Problem in Approximate Vanishing Ideal

Yoshihiko Hasegawa, Hiroshi Kera, Yoshihiko Hasegawa, 2019, IEEE Access.

Probabilistic model building GP with Belief propagation

Danushka Bollegala, Hitoshi Iba, Hiroyuki Sato, 2012, 2012 IEEE Congress on Evolutionary Computation.

Classification by Ensemble of Genetic Programming Rules

Hitoshi Iba, Yoshihiko Hasegawa, Topon Kumar Paul, 2009 .

Probabilistic Model Building Genetic Programming based on Estimation of Bayesian Network

Hitoshi Iba, Yoshihiko Hasegawa, H. Iba, 2007 .

Improved sampling using loopy belief propagation for probabilistic model building genetic programming

Danushka Bollegala, Hitoshi Iba, Hiroyuki Sato, 2015, Swarm Evol. Comput..

Programming with Annotated Grammar Estimation

Yoshihiko Hasegawa, 2012 .

Measuring apparatus for consumed calory of device using steam

Yoshihiko Hasegawa, 義彦長谷川, 1992 .

Estimation of Distribution Algorithm Based on Probabilistic Grammar with Latent Annotations

Hitoshi Iba, Yoshihiko Hasegawa, 2008 .

Binary Encoded-Prototype Tree for Probabilistic Model Building GP

Hitoshi Iba, Yoshihiko Hasegawa, Toshihiko Yanase, 2010 .

Numerical Approach to Genetic Programming

Hitoshi Iba, Yoshihiko Hasegawa, Topon Kumar Paul, 2009 .

A Bayesian Network Approach to Program Generation

Hitoshi Iba, Yoshihiko Hasegawa, H. Iba, 2008, IEEE Transactions on Evolutionary Computation.

Study on photograph condition for image analysis aiming ground classification

Toru Sasaki, Yoshihiko Hasegawa, Atsushi Kusaka, 2020 .

Binary encoding for prototype tree of probabilistic model building GP

Hitoshi Iba, Yoshihiko Hasegawa, Toshihiko Yanase, 2009, GECCO.

Classification of Gene Expression Data by Majority Voting Genetic Programming Classifier

Hitoshi Iba, Yoshihiko Hasegawa, Topon Kumar Paul, 2006, 2006 IEEE International Conference on Evolutionary Computation.

Approximate Vanishing Ideal via Data Knotting

Yoshihiko Hasegawa, Hiroshi Kera, 2018, AAAI.

An algebraic method for steady-state detection in stochastic reaction networks

Yoshihiko Hasegawa, Tan Vu Van, Yoshihiko Hasegawa, 2018 .

GUI Systems and Source Codes

Hitoshi Iba, Yoshihiko Hasegawa, Topon Kumar Paul, 2009 .

Applied Genetic Programming and Machine Learning

Hitoshi Iba, Yoshihiko Hasegawa, Topon Kumar Paul, 2009 .

An algebraic method to calculate parameter regions for constrained steady-state distribution in stochastic reaction networks.

Yoshihiko Hasegawa, Tan Van Vu, T. Vu, 2018, Chaos.

Topological Persistence Machine of Phase Transitions

Yoshihiko Hasegawa, Quoc Hoan Tran, Mark Chen, 2020, Physical review. E.

Geometrical Bounds of the Irreversibility in Markovian Systems.

Yoshihiko Hasegawa, Tan Van Vu, Yoshihiko Hasegawa, 2020, Physical review letters.

Estimation of Bayesian Network for Program Generation

Hitoshi Iba, Yoshihiko Hasegawa, 2006 .

Thermodynamics of collective enhancement of precision

Yoshihiko Hasegawa, 2018, Physical Review E.