Could a training example be detrimental to learning? Contrary to the common belief that more training data is needed for better generalization, we show that the learning algorithm might be better off when some training examples are discarded. In other words, the quality of the examples matters. We explore a general approach to identify examples that are troublesome for learning with a given mod...

Submitted to the Department of Physics in Partial Fulfillment of the Requirements for the Degree of Bachelor of Science in Physics and to the Department of Electrical Engineering and Computer Science in Partial Fulfillment of the Requirements for the Degrees of Bachelor of Science in Electrical Engineering and Computer Science and Master of Engineering in Electrical Engineering and Computer Sci...

OF THESIS Submitted in Partial Fulfillment of the Requirements for the Degree of Master of Science

of dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy

OF THESIS Submitted in Partial Fulfillment of the Requirements for the Degree of Master of Science

OF THESIS Submitted in Partial Fulfillment of the Requirements for the Degree of Master of Science

OF THESIS Submitted in Partial Fulfillment of the Requirements for the Degree of Master of Science

A project submitted in partial fulfillment of the requirements for the degree of Master of Science

to the Department of Mathematics in partial fulfillment of the requirements for an honors degree.