We introduce a new adaptive genetic method for AVT generation, MCM-AVT-Learner. The MCM-AVTLearner imports the mutation and crossover matrices which makes effective use of the fi...
Hyunsung Jo, Yong-chan Na, Byonghwa Oh, Jihoon Yan...
L1 regularization is effective for feature selection, but the resulting optimization is challenging due to the non-differentiability of the 1-norm. In this paper we compare state...
We introduce an exploration scheme aimed at learning advertiser click-through rates in sponsored search auctions with minimal effect on advertiser incentives. The scheme preserves...
Jennifer Wortman, Yevgeniy Vorobeychik, Lihong Li,...
We consider the problem of browsing the top ranked portion of the documents returned by an information retrieval system. We describe an interactive relevance feedback agent that a...
We study the problem of correcting spelling mistakes in text using memory-based learning techniques and a very large database of token n-gram occurrences in web text as training d...