开课单位--施乐欧洲研究中心
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Active, Semi-Supervised Learning for Textual Information Access[用于文本信息访问的主动、半监督学习]
Anastasia Krithara(施乐欧洲研究中心) Active, Semi-Supervised Learning for Textual Information Access
热度:22
Anastasia Krithara(施乐欧洲研究中心) Active, Semi-Supervised Learning for Textual Information Access
热度:22
2
SMART Workshop: Welcome and programme[智能车间:欢迎和计划]
Nicola Cancedda(施乐欧洲研究中心) Categories Top » Events
热度:65
Nicola Cancedda(施乐欧洲研究中心) Categories Top » Events
热度:65
3
Operations at a Techinical Call Centre[在一个技术的呼叫中心业务]
Sophie Pidoux Loughran(施乐欧洲研究中心) Welcome & Support Centre (WSC) Operations Introduction slide4 WSC background & structure Remote Customer Assistance (RCA) How d...
热度:52
Sophie Pidoux Loughran(施乐欧洲研究中心) Welcome & Support Centre (WSC) Operations Introduction slide4 WSC background & structure Remote Customer Assistance (RCA) How d...
热度:52
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Similarity and differences by finite automata[有限自动机的相似性和差异性]
Tamás Gaál(施乐欧洲研究中心) Similarity and differences by finite automata in HMMs, kernels, morphological analysers, compilers and image compressors. Constraint satisfaction solv...
热度:40
Tamás Gaál(施乐欧洲研究中心) Similarity and differences by finite automata in HMMs, kernels, morphological analysers, compilers and image compressors. Constraint satisfaction solv...
热度:40
6
Relearning Learning-Applying the Long Tail to Learning[再学习-应用长尾理论学习]
John Seely Brown(施乐欧洲研究中心) In a digitally connected, rapidly evolving world, we must transcend the traditional Cartesian models of learning that prescribe “pouring knowled...
热度:254
John Seely Brown(施乐欧洲研究中心) In a digitally connected, rapidly evolving world, we must transcend the traditional Cartesian models of learning that prescribe “pouring knowled...
热度:254
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Split Variational Inference[分变分推理]
Onno Zoeter(施乐欧洲研究中心) We propose a deterministic method to eval- uate the integral of a positive function based on soft-binning functions that smoothly cut the integral int...
热度:63
Onno Zoeter(施乐欧洲研究中心) We propose a deterministic method to eval- uate the integral of a positive function based on soft-binning functions that smoothly cut the integral int...
热度:63
9
Learning Recommendations in Social Media Systems By Weighting Multiple Relations[通过加权多重关系学习社会化媒体系统的建议]
Boris Chidlovskii(施乐欧洲研究中心) We address the problem of item recommendation in social media sharing systems. We adopt a multi-relational framework capable to integrate different en...
热度:35
Boris Chidlovskii(施乐欧洲研究中心) We address the problem of item recommendation in social media sharing systems. We adopt a multi-relational framework capable to integrate different en...
热度:35
10
Learning optimally from self-interested data sources in on-line ad auctions[在线广告拍卖中自利数据源的优化学习]
Onno Zoeter(施乐欧洲研究中心) In the analysis of current online ad auctions essential parameters such as click-through rates are often assumed to be known. The disregard of the unc...
热度:28
Onno Zoeter(施乐欧洲研究中心) In the analysis of current online ad auctions essential parameters such as click-through rates are often assumed to be known. The disregard of the unc...
热度:28