We analyze the application of ensemble learning to recommender systems on the Netflix Prize dataset. For our analysis we use a set of diverse state-of-the-art collaborative filt...
In this paper, we propose a unified algorithmic framework for solving many known variants of MDS. Our algorithm is a simple iterative scheme with guaranteed convergence, and is m...
Arvind Agarwal, Jeff M. Phillips, Suresh Venkatasu...
This paper focuses on in-process measurements during requirements definition where measurements of processes and products are relatively difficult. However, development processes ...
Yoshiki Mitani, Tomoko Matsumura, Mike Barker, Sei...
Utility programs, which perform similar and largely independent operations on a sequence of inputs, include such common applications as compilers, interpreters, and document parse...
Xipeng Shen, Michael L. Scott, Chengliang Zhang, S...
In this paper, we present a novel image search system, image search by concept map. This system enables users to indicate not only what semantic concepts are expected to appear bu...