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» First vs. best improvement: An empirical study
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ADMA
2005
Springer
157views Data Mining» more  ADMA 2005»
14 years 2 months ago
Learning k-Nearest Neighbor Naive Bayes for Ranking
Accurate probability-based ranking of instances is crucial in many real-world data mining applications. KNN (k-nearest neighbor) [1] has been intensively studied as an effective c...
Liangxiao Jiang, Harry Zhang, Jiang Su
BMCBI
2008
122views more  BMCBI 2008»
13 years 8 months ago
ESLpred2: improved method for predicting subcellular localization of eukaryotic proteins
Background: The expansion of raw protein sequence databases in the post genomic era and availability of fresh annotated sequences for major localizations particularly motivated us...
Aarti Garg, Gajendra P. S. Raghava
IMC
2010
ACM
13 years 6 months ago
Characterizing radio resource allocation for 3G networks
3G cellular data networks have recently witnessed explosive growth. In this work, we focus on UMTS, one of the most popular 3G mobile communication technologies. Our work is the f...
Feng Qian, Zhaoguang Wang, Alexandre Gerber, Zhuoq...
STOC
2004
ACM
158views Algorithms» more  STOC 2004»
14 years 9 months ago
Collective asynchronous reading with polylogarithmic worst-case overhead
The Collect problem for an asynchronous shared-memory system has the objective for the processors to learn all values of a collection of shared registers, while minimizing the tot...
Bogdan S. Chlebus, Dariusz R. Kowalski, Alexander ...
CLEF
2005
Springer
14 years 2 months ago
CUHK at ImageCLEF 2005: Cross-Language and Cross-Media Image Retrieval
In this paper, we describe our studies of cross-language and cross-media image retrieval at the ImageCLEF 2005. This is the first participation of our CUHK (The Chinese University...
Steven C. H. Hoi, Jianke Zhu, Michael R. Lyu