 | Ng, Andrew Y. |
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 | Ng, Andrew Y. (Michael Kearns, Yishay Mansour, Andrew Y. Ng and Dana Ron) -- An Experimental and Theoretical Comparison of Model Selection Methods - 1997 |
| Ng, Andrew Y. (Andrew McCallum, Ronald Rosenfeld, Tom Mitchell and Andrew Y. Ng) -- Improving text classification by shrinkage in a hierarchy of classes - 1998 |
| Ng, Andrew Y. (Andrew Y. Ng and Stuart Russell) -- Algorithms for Inverse Reinforcement Learning - 2000 |
| Ng, Andrew Y. (Andrew Y. Ng and Michael I. Jordan) -- Convergence Rates of the Voting Gibbs Classifier, with Application to Bayesian Feature Selection - 2001 |
| Ng, Andrew Y. (Andrew Y. Ng, Daishi Harada and Stuart Russell) -- Policy invariance under reward transformations: theory and application to reward shaping - 1999 |
| Ng, Andrew Y. (Andrew Y. Ng) -- Preventing Overfitting of cross-validation data - 1997 |
| Ng, Andrew Y. (Andrew Y. Ng) -- On feature selection: learning with exponentially many irrelevant features as training examples - 1998 |
| Ng, Andrew Y. (Michael Kearns, Yishay Mansour and Andrew Y. Ng) -- A Sparse Sampling Algorithm for Near-Optimal Planning in Large Markov Decision Processes - 2002 |
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