Presentations

• Improved update rule and sampling of stochastic gradient descent with extreme early stopping for support vector machines
  from the conference LOD 2021 link (pdf)
  
• Fast hyperparameter tuning for support vector machines with stochastic gradient descent
  from the conference LOD 2020 link (pdf)
  
• Axiomatic Kernels on Graphs for Support Vector Machines
  from the conference ICANN 2019 link (pdf)
  from the seminar link (pdf)
  
• Knowledge-Uncertainty Axiomatized Framework with Support Vector Machines for Hyperparameter Optimization
  from the seminar link (pdf)
• Clustering by Support Vector Manifold Learning
  from the conference IJCNN 2017 link (pdf)
  from the seminar link (pdf)
• Balanced Support Vector Regression
  from the conference ICAISC 2015 link (pdf)
• Support Vector Regression with A Priori Knowledge Used in Order Execution Strategies Based on VWAP
  from the conference ADMA 2011 link (pdf)
  
• Support Vector Regression as a Classification Problem with a Priori Knowledge in the Form of Detractors
  from the conference ICMMI 2011 link (pdf)
  
• Incorporating a Priori Knowledge from Detractor Points into Support Vector Classification
  from the conference ICANNGA 2011 link (pdf)
  
• Regression Based on Support Vector Classification
  from the conference ICANNGA 2011 link (pdf)
  
• Incorporating Detractors into SVM Classification
  from the conference ICMMI 2009 link (pdf)
  
• Support Vector Machines: Sequential Multidimensional Subsolver (SMS)
  from the conference SPA 2007 link (pdf)
  
• Support vector machines: heuristic of alternatives
  from the conference SPS 2007 link (pdf)