„supervised learning“

Suchergebnisse

2.377 Treffer

• Area-efficient memristor spiking neural networks and supervised learning method
  Zhou, Errui ; Fang, Liang ; Liu, Rulin ; Tang, Zhensen
• Identification of Gesture Based on Combination of Raw sEMG and sEMG Envelope Using Supervised Learning and Univariate Feature Selection
  Liang, Shili ; Wu, Yansheng ; Chen, Jianfei ; Zhang, Ling ; Chen, Peipei ; Chai, Zongqian ; Cao, Chunlei
• Self-supervised learning-based weight adaptive hashing for fast cross-modal retrieval
  Li, Yifan ; Wang, Xuan ; Qi, Shuhan ; Huang, Chengkai ; Jiang, Zoe. L. ; Liao, Qing ; Guan, Jian ; Zhang, Jiajia
• Prediction Model for Bollywood Movie Success: A Comparative Analysis of Performance of Supervised Machine Learning Algorithms
  Verma, Hemraj ; Verma, Garima
• Robust identification of molecular phenotypes using semi-supervised learning
  Roder, Heinrich ; Oliveira, Carlos ; Net, Lelia ; Linstid, Benjamin ; Tsypin, Maxim ; Roder, Joanna
• Capturing the differences between humoral immunity in the normal and tumor environments from repertoire-seq of B-cell receptors using supervised machine learning
  Konishi, Hiroki ; Komura, Daisuke ; Katoh, Hiroto ; Atsumi, Shinichiro ; Koda, Hirotomo ; Yamamoto, Asami ; Seto, Yasuyuki ; Fukayama, Masashi ; Yamaguchi, Rui ; Imoto, Seiya ; Ishikawa, Shumpei
• Supervised machine learning-based classification scheme to segment the brainstem on MRI in multicenter brain tumor treatment context
  Dolz, Jose ; Laprie, Anne ; Ken, Soléakhéna ; Leroy, Henri-Arthur ; Reyns, Nicolas ; Massoptier, Laurent ; Vermandel, Maximilien
• Supervised machine learning techniques and genetic optimization for occupational diseases risk prediction
  Noia, Antonio Di ; Martino, Alessio ; Montanari, Paolo ; Rizzi, Antonello
• Semi-supervised learning of a nonnative phonetic contrast: How much feedback is enough?
  Wright, Beverly A. ; LeBlanc, Emma K. ; Little, David F. ; Conderman, Jessica S. ; Glavin, Courtney Coburn
• Big Data Analytics with R and Hadoop – Big Data Analytics
  Vaghela, Dineshkumar 2019 LAP LAMBERT Academic Publishing
• New, Faster Algorithms for Supervised Competitive Learning: Counterpropagation and Adaptive-Resonance Functionality
  Korn, Granino A.
• Supervised and Unsupervised Learning with Two Sites of Synaptic Integration
  Körding, Konrad P. ; König, Peter
• Impact of Fuzziness Measures on the Performance of Semi-supervised Learning
  Patwary, Muhammed J. A. ; Wang, Xi-Zhao ; Yan, Dasen
• Using mid-infrared spectroscopy and supervised machine-learning to identify vertebrate blood meals in the malaria vector, Anopheles arabiensis
  Mwanga, Emmanuel P. ; Mapua, Salum A. ; Siria, Doreen J. ; Ngowo, Halfan S. ; Nangacha, Francis ; Mgando, Joseph ; Baldini, Francesco ; González Jiménez, Mario ; Ferguson, Heather M. ; Wynne, Klaas ; Selvaraj, Prashanth ; Babayan, Simon A. ; Okumu, Fredros O.
• A new semi-supervised learning model combined with Cox and SP-AFT models in cancer survival analysis
  Chai, Hua ; Li, Zi-na ; Meng, De-yu ; Xia, Liang-yong ; Liang, Yong
• Kernel conditional clustering and kernel conditional semi-supervised learning
  He, Xiao ; Gumbsch, Thomas ; Roqueiro, Damian ; Borgwardt, Karsten
• Efficient Hybrid-Supervised Deep Reinforcement Learning for Person Following Robot
  Pang, Linzhuo ; Zhang, Yunzhou ; Coleman, Sonya ; Cao, He
• Performance Evaluation of Classification Models – Evaluation of Classification models during bank marketing campaign under supervised machine learning domain
  Goel, Sheenam 2019 LAP LAMBERT Academic Publishing
• MACHINE LEARNING IN BIG LIDAR DATA: A REVIEW
  Teri, S. S. ; Musliman, I. A.
• A SEMI-SUPERVISED APPROACH TO SAR-OPTICAL IMAGE MATCHING
  Hughes, L. H. ; Schmitt, M.