Machine learning of structured outputs
Bayeswatch Bayesian Disagreement. BAYESWATCH IPAMGSS07, Venice Beach, LA “ Cor, I wouldn’t mind sampling from that posterior!”
Latent (S)SVM and Cognitive Multiple People Tracker.
Seeking Interpretable Models for High Dimensional Data
A PAC-Bayes Risk Bound for General Loss Functions
Seeking Interpretable Models for High Dimensional Data Bin Yu Statistics Department, EECS Department University of California, Berkeley binyu.
Sparsity-Eager SVM for Audio Classification Kamelia Aryafar & Ali Shokoufandeh Department of Computer Science Drexel University, Philadelphia, PA Presented.
Latent (S)SVM and Cognitive Multiple People Tracker
