We present an approach for optimizing the performance of information agents by materializing useful information . A critical problem with information agents, particularly those ga...
The principle of least commitment was embraced early in planning research. Hierarchical task networks (HTNs)reason about high-level tasks without committing to specific low-level ...
Investors vary with respect to their expected return and aversion to associated risk, and hence also vary in their performance expectations of the stock market portfolios they hol...
In this paper, we propose a novel personalized ranking system for amateur photographs. Although some of the features used in our system are similar to previous work, new features,...
Che-Hua Yeh, Yuan-Chen Ho, Brian A. Barsky, Ming O...
Abstract. Support Vector Machines (SVMs) are well-established Machine Learning (ML) algorithms. They rely on the fact that i) linear learning can be formalized as a well-posed opti...