„Machine Learning Models“

Suchergebnisse

3.650 Treffer

• Twin Support Vector Machines – Models, Extensions and Applications
  Jayadeva ; Khemchandani, Reshma ; Chandra, Suresh 2017 Springer International Publishing
• Predictability of vibration loads from experimental data by means of reduced vehicle models and machine learning
  Dostal, Leo ; Grossert, Helge ; Dücker, Daniel-André ; Grube, Malte ; Kreuter, Daniel Christopher ; Sandmann, Kai ; Zillmann, Benjamin ; Seifried, Robert 2020 Universitätsbibliothek der Technischen Universität Hamburg-Harburg
• Symbolic Regression Based Extreme Learning Machine Models for System Identification
  Köktürk-Güzel, Başak Esin ; Beyhan, Selami
• Comparative performance of extreme learning machine and Hammerstein–Weiner models for modelling the intestinal hyper-motility and secretory inhibitory effects of methanolic leaf extract of Combretumhypopilinum Diels (Combretaceae)
  Ahmad, Mubarak Hussaini ; Usman, A. G. ; Abba, S. I.
• The COVID-19 pandemic: prediction study based on machine learning models
  Malki, Zohair ; Atlam, El-Sayed ; Ewis, Ashraf ; Dagnew, Guesh ; Ghoneim, Osama A. ; Mohamed, Abdallah A. ; Abdel-Daim, Mohamed M. ; Gad, Ibrahim
• chemmodlab: a cheminformatics modeling laboratory R package for fitting and assessing machine learning models
  Ash, Jeremy R. ; Hughes-Oliver, Jacqueline M.
• Comparison of machine learning models for the prediction of mortality of patients with unplanned extubation in intensive care units
  Hsieh, Meng Hsuen ; Hsieh, Meng Ju ; Chen, Chin-Ming ; Hsieh, Chia-Chang ; Chao, Chien-Ming ; Lai, Chih-Cheng
• Solving the electronic structure problem with machine learning
  Chandrasekaran, Anand ; Kamal, Deepak ; Batra, Rohit ; Kim, Chiho ; Chen, Lihua ; Ramprasad, Rampi
• Hybrid constitutive modeling: data-driven learning of corrections to plasticity models
  Ibáñez, Rubén ; Abisset-Chavanne, Emmanuelle ; González, David ; Duval, Jean-Louis ; Cueto, Elias ; Chinesta, Francisco
• How to add new knowledge to already trained deep learning models applied to semantic localization
  Cruz, Edmanuel ; Rangel, Jose Carlos ; Gomez-Donoso, Francisco ; Cazorla, Miguel
• Applying Machine Learning Approaches to Evaluating Rockburst Liability: A Comparation of Generative and Discriminative Models
  Pu, Yuanyuan ; Apel, Derek B. ; Wei, Chong
• Large-margin learning of Cox proportional hazard models for survival analysis
  Kim, Minyoung
• Multivariate machine learning models for prediction of pathologic response to neoadjuvant therapy in breast cancer using MRI features: a study using an independent validation set
  Cain, Elizabeth Hope ; Saha, Ashirbani ; Harowicz, Michael R. ; Marks, Jeffrey R. ; Marcom, P. Kelly ; Mazurowski, Maciej A.
• Model reduction for fractured porous media: a machine learning approach for identifying main flow pathways
  Srinivasan, Shriram ; Karra, Satish ; Hyman, Jeffrey ; Viswanathan, Hari ; Srinivasan, Gowri
• Machine Learning Models for the Prediction of Chemotherapy-Induced Peripheral Neuropathy
  Bloomingdale, Peter ; Mager, Donald E.
• Comparison of machine learning methods for copper ore grade estimation
  Jafrasteh, Bahram ; Fathianpour, Nader ; Suárez, Alberto
• Reply: metrics to assess machine learning models
  Rajkomar, Alvin ; Dai, Andrew M. ; Sun, Mimi ; Hardt, Michaela ; Chen, Kai ; Rough, Kathryn ; Dean, Jeffrey
• Identifying Pb-free perovskites for solar cells by machine learning
  Im, Jino ; Lee, Seongwon ; Ko, Tae-Wook ; Kim, Hyun Woo ; Hyon, YunKyong ; Chang, Hyunju
• BitterSweet: Building machine learning models for predicting the bitter and sweet taste of small molecules
  Tuwani, Rudraksh ; Wadhwa, Somin ; Bagler, Ganesh
• Neural network, ARX, and extreme learning machine models for the short-term prediction of temperature in buildings
  Potočnik, Primož ; Vidrih, Boris ; Kitanovski, Andrej ; Govekar, Edvard