Zobrazeno 1 - 10
of 936
pro vyhledávání: '"Akutsu, Tatsuya"'
In this paper, we focus on the prediction phase of a random forest and study the problem of representing a bag of decision trees using a smaller bag of decision trees, where we only consider binary decision problems on the binary domain and simple de
Externí odkaz:
http://arxiv.org/abs/2312.11540
Autor:
Zhu, Jianshen, Azam, Naveed Ahmed, Haraguchi, Kazuya, Zhao, Liang, Nagamochi, Hiroshi, Akutsu, Tatsuya
A novel framework for designing the molecular structure of chemical compounds with a desired chemical property has recently been proposed. The framework infers a desired chemical graph by solving a mixed integer linear program (MILP) that simulates t
Externí odkaz:
http://arxiv.org/abs/2305.00801
Autor:
Zhu, Jianshen, Azam, Naveed Ahmed, Cao, Shengjuan, Ido, Ryota, Haraguchi, Kazuya, Zhao, Liang, Nagamochi, Hiroshi, Akutsu, Tatsuya
A novel framework has recently been proposed for designing the molecular structure of chemical compounds with a desired chemical property, where design of novel drugs is an important topic in bioinformatics and chemo-informatics. The framework infers
Externí odkaz:
http://arxiv.org/abs/2209.13527
Autor:
Akutsu, Tatsuya, Melkman, Avraham A.
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems, 2023
In this paper, we study the size and width of autoencoders consisting of Boolean threshold functions, where an autoencoder is a layered neural network whose structure can be viewed as consisting of an encoder, which compresses an input vector to a lo
Externí odkaz:
http://arxiv.org/abs/2112.10933
Autor:
Ido, Ryota, Cao, Shengjuan, Zhu, Jianshen, Azam, Naveed Ahmed, Haraguchi, Kazuya, Zhao, Liang, Nagamochi, Hiroshi, Akutsu, Tatsuya
A novel framework has recently been proposed for designing the molecular structure of chemical compounds with a desired chemical property using both artificial neural networks and mixed integer linear programming. In this paper, we design a new metho
Externí odkaz:
http://arxiv.org/abs/2109.02628
Autor:
Azam, Naveed Ahmed, Zhu, Jianshen, Haraguchi, Kazuya, Zhao, Liang, Nagamochi, Hiroshi, Akutsu, Tatsuya
A novel framework has recently been proposed for designing the molecular structure of chemical compounds with a desired chemical property using both artificial neural networks and mixed integer linear programming. In the framework, a chemical graph w
Externí odkaz:
http://arxiv.org/abs/2108.10266
Autor:
Zhu, Jianshen, Azam, Naveed Ahmed, Haraguchi, Kazuya, Zhao, Liang, Nagamochi, Hiroshi, Akutsu, Tatsuya
Recently a novel framework has been proposed for designing the molecular structure of chemical compounds using both artificial neural networks (ANNs) and mixed integer linear programming (MILP). In the framework, we first define a feature vector $f(C
Externí odkaz:
http://arxiv.org/abs/2107.02381
Autor:
Akutsu, Tatsuya, Mori, Tomoya, Nakamura, Naotoshi, Kozawa, Satoshi, Ueno, Yuhei, Sato, Thomas N.
In this article, we propose tree edit distance with variables, which is an extension of the tree edit distance to handle trees with variables and has a potential application to measuring the similarity between mathematical formulas, especially, those
Externí odkaz:
http://arxiv.org/abs/2105.04802
Publikováno v:
In Information Sciences April 2024 664
Publikováno v:
Automatica 130 (2021) 109630
Observing the internal state of the whole system using a small number of sensor nodes is important in analysis of complex networks. Here, we study the problem of determining the minimum number of sensor nodes to discriminate attractors under the assu
Externí odkaz:
http://arxiv.org/abs/2009.13198