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中国科学院文献情报中心申请采购RSC期刊、AGU Online Journals项目采用单一来源方式采购,预算金额181.50万元(人民币),该项目拟由英国皇家化学学会(Royal Society of Chemistry),英国剑桥郡剑桥科学园区米尔顿路托马斯格兰姆大厦;美国地球物理协会(American Geophysical Union),美国华盛顿特区佛罗里达州大道2000号提供。现将有关...
中国科学院文献情报中心申请采购American Society for Microbiology Journal Online等项目采用单一来源方式采购,预算金额193.41万元(人民币),该项目拟由美国微生物学会,美国华盛顿特区北街1752号;BioMed中心,英国伦敦N1 9XW,Crinan大街4号,校园;Faculty Opinions Limited,米德尔塞克斯大厦,34-42克利夫兰...
Recently, HodgeRank on random graphs has been proposed as an effective framework for multimedia quality assessment problem based on paired comparison method. With the ran-dom design on large graphs, i...
Recently, HodgeRank on random graphs has been proposed as an effective framework for multimedia quality assessment problem based on paired comparison method. With the ran-dom design on large graphs, i...
Developed by General Motors (GM), the Auto Choice Advisor web site (http://www. autochoiceadvisor.com) recommends vehicles to consumers based on their requirements and budget constraints. Through the ...
In recent years, a second generation of Web-based technologies have as “Web 2.0” At the core of Web 2.0 are web-based services, social networking and online collaborative functions. Forestry, like oth...
Identifying effective strategies for encouraging individuals to disclose their personal information on the Internet is important for marketers. In today's informationbased economy, access to consumer ...
Human trafficking is a serious crime that consists of slavery in modern forms all over the world. Despite the rapid economic growth in China during the past few decades, the situation of human traffic...
Normalized Online Learning     Normalized  Online Learning       2013/6/17
We introduce online learning algorithms which are independent of feature scales, proving regret bounds dependent on the ratio of scales existent in the data rather than the absolute scale. This has se...
In an online contract selection problem there is a seller which offers a set of contracts to sequentially arriving buyers whose types are drawn from an unknown distribution. If there exists a profitab...
In this paper, we study the generalization properties of online learning based stochastic methods for supervised learning problems where the loss function is dependent on more than one training sample...
We study the problem of learning Markov decision processes with finite state and action spaces when the transition probability distributions and loss functions are chosen adversarially and are allowed...
The goal of a learner, in standard online learning, is to have the cumulative loss not much larger compared with the best-performing function from some fixed class. Numerous algorithms were shown to h...
We present methods for online linear optimization that take advantage of benign (as opposed to worst-case) sequences. Speci cally if the sequence encountered by the learner is described well by a know...
The article points out that developments in electronic banking technology and its increasing popularity among banking customers offer banks in the U.S. with powerful tool for serving the community as ...

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