Patent ID: 11922045
Assignee: EMC IP HOLDING COMPANY LLC
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 4:
5. The method according to claim 4, wherein the linear regression model comprises:, f
   ⁡
   (
   w
   )
  
  :=
  
   
    λ
    ⁢
    
     R
     ⁡
     (
     w
     )
    
   
   +
   
    
     1
     n
    
    ⁢
    
     
      ∑
      
       i
       =
       1
      
      n
     
      
     
      L
      ⁡
      (
      
       
        w
        ;
        
         x
         i
        
       
       ,
       
        y
        i
       
      
      )
     
    
   
  
 

wherein f(w) represents an objective function that depends on a weight w, x_i represents the training data, y_i represents the corresponding label of the training data, and L(w;) represents the loss function for measuring the error about the training data in the model, λR(w) represents the regularization term for controlling the complexity of the model, λ represents the fixed regularization parameter, λ defines the tradeoff between the minimized loss and the minimized model complexity, and n represents the number of samples in the training data.