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Web search engine companies are intensively running learning to rank algorithms to improve the search relevance. Neural network (NN)-based approaches, such as LambdaRank, can significantly increase the ranking quality. While, their training is very slow on a single computer and inherent coarse-grained parallelism could be hardly utilized by computer clusters. Thus an efficient implementation is necessary...
Optical burst switching (OBS) is a promising switching paradigm for next-generation optical Internet backbones. However, there two challenging issues on the commercialization of OBS: burst contention and limited wavelength conversion capability (LWCC). This paper proposes a new signaling protocol for OBS-LWCC networks, namely wavelength-amend-on-demand (WAoD), which is a modified version of the proposed...
Search relevance is a key measurement for the usefulness of search engines. Shift of search relevance among search engines can easily change a search company's market cap by tens of billions of dollars. With the ever-increasing scale of the Web, machine learning technologies have become important tools to improve search relevance ranking. RankBoost is a promising algorithm in this area, but it is...
As a patient and recipient of a blood transfusion, it is important for him or her to receive the safest blood possible. Information about the donated blood should be under the track to guarantee the quality of the blood source. In this paper, we present a RFID-based blood information management system that aims at ensuring the quality of the blood and increasing the efficiency of operation management...
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