„Machine Learning Models“

Suchergebnisse

3.650 Treffer

• A strategy to apply machine learning to small datasets in materials science
  Zhang, Ying ; Ling, Chen
• ROOFN3D: DEEP LEARNING TRAINING DATA FOR 3D BUILDING RECONSTRUCTION
  Wichmann, A. ; Agoub, A. ; Kada, M.
• Big Data Analytics of Identifying Geochemical Anomalies Supported by Machine Learning Methods
  Zuo, RenGuang ; Xiong, YiHui
• Feature combination networks for the interpretation of statistical machine learning models: application to Ames mutagenicity
  Webb, Samuel J. ; Hanser, Thierry ; Howlin, Brendan ; Krause, Paul ; Vessey, Jonathan D.
• Generating Simulation Models of Communication Protocols – Learning from our Data
  Rahman, Md. Tanzilur ; Saini, Gurpreet Singh 2014 LAP LAMBERT Academic Publishing
• Event-Driven 3D Vision for Human Activity Analysis – In Context of Dance and Fitness Training of Elderly People
  Hahn, Thomas 2013 AV Akademikerverlag
• Detailed visual person analysis based on attribrute models learned from data
  Sudowe, Patrick 2017 Shaker Verlag
• Supergraph models – a novel approach for structure learning, classification and recognition
  Hartz, Johannes 2013 Verl.-Haus Monsenstein und Vannerdat
• Computer vision
  2012 Springer
• Computer vision
  2012 Springer
• Computer vision
  2012 Springer
• Computer vision
  2012 Springer
• Computer vision
  2012 Springer
• Application of machine-learning models for diagnosing health hazard of nitrate toxicity in shallow aquifers
  Karandish, Fatemeh ; Darzi-Naftchali, Abdullah ; Asgari, Ahmad
• Transactions on computational collective intelligence
  Nguyen, Ngoc-Thanh 2012 Springer
• Data analytics – models and algorithms for intelligent data analysis
  Runkler, Thomas A. 2012 Springer Vieweg
• Evaluation of different time domain peak models using extreme learning machine-based peak detection for EEG signal
  Adam, Asrul ; Ibrahim, Zuwairie ; Mokhtar, Norrima ; Shapiai, Mohd Ibrahim ; Cumming, Paul ; Mubin, Marizan
• River Stage Forecasting Using Wavelet Packet Decomposition and Machine Learning Models
  Seo, Youngmin ; Kim, SungWon ; Kisi, Ozgur ; Singh, Vijay P. ; Parasuraman, Kamban
• Predicting DNA binding sites using generative, discriminative, and hybrid learning principles
  Keilwagen, Jens
• Machine-learning models for on-site estimation of background concentrations of arsenic in soils using soil formation factors
  Wu, Jin ; Teng, Yanguo ; Chen, Haiyang ; Li, Jiao