Joining two paradigms of machine learning

被引:0
|
作者
Ortner, Ronald [1 ]
机构
[1] Informationstechnologie, Montanuniversität Leoben, Franz-Josef-Straße 18, A-8700 Leoben, Austria
关键词
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:3 / 6
相关论文
共 50 条
  • [31] Quantum machine learning: a systematic categorization based on learning paradigms, NISQ suitability, and fault tolerance
    Majid, Bisma
    Sofi, Shabir Ahmed
    Jabeen, Zamrooda
    QUANTUM MACHINE INTELLIGENCE, 2025, 7 (01)
  • [32] LEARNING FROM EXAMPLES - A REVIEW OF MACHINE LEARNING, NEURAL NETWORKS AND FUZZY-LOGIC PARADIGMS
    QUIROGA, LA
    RABELO, LC
    COMPUTERS & INDUSTRIAL ENGINEERING, 1995, 29 : 561 - 565
  • [33] PARADIGMS OF LEARNING
    MALONE, JC
    PSYCHOLOGICAL RECORD, 1975, 25 (04): : 479 - 489
  • [34] Predicting Joining Behavior of Freshmen Students using Machine Learning - A Case Study
    Kumar, Pawan
    Kumar, Varun
    Sobti, Rajeev
    2020 INTERNATIONAL CONFERENCE ON COMPUTATIONAL PERFORMANCE EVALUATION (COMPE-2020), 2020, : 141 - 145
  • [35] Two Paradigms
    Agamben, Giorgio
    FILOZOFSKI VESTNIK, 2009, 30 (01) : 127 - 142
  • [36] Brain tumor magnetic resonance images classification based machine learning paradigms
    Pattanaik, Baby Barnali
    Anitha, Komma
    Rathore, Shanti
    Biswas, Preesat
    Sethy, Prabira Kumar
    Behera, Santi Kumari
    WSPOLCZESNA ONKOLOGIA-CONTEMPORARY ONCOLOGY, 2022, 26 (04): : 268 - 274
  • [37] Machine learning for cognitive behavioral analysis: datasets, methods, paradigms, and research directions
    Bhatt, Priya
    Sethi, Amanrose
    Tasgaonkar, Vaibhav
    Shroff, Jugal
    Pendharkar, Isha
    Desai, Aditya
    Sinha, Pratyush
    Deshpande, Aditya
    Joshi, Gargi
    Rahate, Anil
    Jain, Priyanka
    Walambe, Rahee
    Kotecha, Ketan
    Jain, N. K.
    BRAIN INFORMATICS, 2023, 10 (01)
  • [38] At the Crossroads Between Psychiatry and Machine Learning: Insights Into Paradigms and Challenges for Clinical Applicability
    Itani, Sarah
    Rossignol, Mandy
    FRONTIERS IN PSYCHIATRY, 2020, 11
  • [39] Iris matching by means of Machine Learning paradigms: A new approach to dissimilarity computation
    Aginako, Naiara
    Echegaray, Goretti
    Martinez-Otzeta, J. M.
    Rodriguez, Igor
    Lazkano, Elena
    Sierra, Basilio
    PATTERN RECOGNITION LETTERS, 2017, 91 : 60 - 64
  • [40] Machine learning paradigms in high-resolution remote sensing image interpretation
    Zhou P.
    Cheng G.
    Yao X.
    Han J.
    National Remote Sensing Bulletin, 2021, 25 (01) : 182 - 197