On the evolutionary inference of Temporal Boolean Networks

被引：0
|
作者：
Cotta, C [1 ]
机构：
[1] Univ Malaga, Dept Lenguajes & Ciencias Computac, Malaga 29071, Spain
来源：
COMPUTATIONAL METHODS IN NEURAL MODELING, PT 1 | 2003年 / 2686卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The problem of inferring genetic networks under the Temporal Boolean Network model is considered here. This is a very hard problem for which an heuristic approach is proposed. This approach is based on the use of evolutionary algorithms (EAs) to refine the results of a specialized algorithm (ID3). Experimental results provide support for the usefulness of this approach, showing a consistent enhancement of the ID3 solutions.
引用
收藏
页码：494 / 501
页数：8
相关论文
共 50 条
  • [31] Inference of gene regulatory networks with the strong-inhibition Boolean model
    Xia, Qinzhi
    Liu, Lulu
    Ye, Weiming
    Hu, Gang
    [J]. NEW JOURNAL OF PHYSICS, 2011, 13
  • [32] Tractable Learning and Inference for Large-Scale Probabilistic Boolean Networks
    Apostolopoulou, Ifigeneia
    Marculescu, Diana
    [J]. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 30 (09) : 2720 - 2734
  • [33] Inference of Boolean models of genetic networks using monotonic time transformations
    Kesseli, J
    Rämö, P
    Yli-Harja, O
    [J]. ISCCSP : 2004 FIRST INTERNATIONAL SYMPOSIUM ON CONTROL, COMMUNICATIONS AND SIGNAL PROCESSING, 2004, : 759 - 762
  • [34] Inference of Boolean networks from time series data with realistic characteristics
    Erkkila, Timo
    Korpelainen, Tomi
    Yli-Harja, Olli
    [J]. 2007 IEEE INTERNATIONAL WORKSHOP ON GENOMIC SIGNAL PROCESSING AND STATISTICS, 2007, : 131 - 134
  • [35] Inference of causality in epidemics on temporal contact networks
    Alfredo Braunstein
    Alessandro Ingrosso
    [J]. Scientific Reports, 6
  • [36] Inference of causality in epidemics on temporal contact networks
    Braunstein, Alfredo
    Ingrosso, Alessandro
    [J]. SCIENTIFIC REPORTS, 2016, 6
  • [37] A Hardware Inference Accelerator for Temporal Convolutional Networks
    Ali, Rashid
    Mallah, Maen
    Leyh, Martin
    Holzinger, Philipp
    Breiling, Marco
    Reichenbach, Marc
    Fey, Dietmar
    [J]. 2019 IEEE NORDIC CIRCUITS AND SYSTEMS CONFERENCE (NORCAS) - NORCHIP AND INTERNATIONAL SYMPOSIUM OF SYSTEM-ON-CHIP (SOC), 2019,
  • [38] On the Complexity of Inference and Completion of Boolean Networks from Given Singleton Attractors
    Jiang, Hao
    Tamura, Takeyuki
    Ching, Wai-Ki
    Akutsu, Tatsuya
    [J]. IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, 2013, E96A (11) : 2265 - 2274
  • [39] On the inference of the Boolean model
    Schmitt, M
    Beucher, H
    [J]. GEOSTATISTICS WOLLONGONG '96, VOLS 1 AND 2, 1997, 8 (1-2): : 200 - 210
  • [40] Language Inference Using Elman Networks with Evolutionary Training
    Anastasopoulos, Nikolaos
    Tsoulos, Ioannis G.
    Dermatas, Evangelos
    Karvounis, Evangelos
    [J]. SIGNALS, 2022, 3 (03): : 611 - 619
12345