'Binary classifier' presentation slideshows

Ensembles of Classifiers Evgueni Smirnov

Ensembles of Classifiers Evgueni Smirnov. Outline. Methods for Independently Constructing Ensembles Majority Vote Bagging and Random Forest Randomness Injection Feature-Selection Ensembles Error-Correcting Output Coding Methods for Coordinated Construction of Ensembles Boosting

684 views • 43 slides

ranking

533 views • 43 slides

multiclass continued and ranking

473 views • 38 slides

Control of a humanoid robot using EEG

Control of a humanoid robot using EEG. Problem. EEG is low bandwidth Hard to exercise fine grained control. Solution. Use an autonomous robot Provide various options for user to select from Use P300 to detect which option is selected. User Study.

333 views • 13 slides

CMUDIR group: TDT Supervised Tracking

182 views • 8 slides

Perceptron Models

Perceptron Models. The perceptron is a kind of binary classifier that maps its input x (a vector of type Real ) to an output value f ( x ) (a scalar of type Real) calculated as f(x) = <w,x> + b

185 views • 4 slides