搜索结果: 1-15 共查到“统计学 Online”相关记录19条 . 查询时间(0.101 秒)
Online Crowdsourcing Subjective Image Quality Assessment
Subjective Image Quality Assessment Online Crowdsourc- ing Paired Comparison
2016/1/25
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...
Online Crowdsourcing Subjective Image Quality Assessment
Subjective Image Quality Assessment Online Crowdsourc- ing Paired Comparison
2016/1/20
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...
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...
Online Learning in a Contract Selection Problem
Online Learning Contract Selection Problem
2013/6/14
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...
On the Generalization Ability of Online Learning Algorithms for Pairwise Loss Functions
Generalization Ability Online Learning Algorithms Pairwise Loss Functions
2013/6/14
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...
Online Learning in Markov Decision Processes with Adversarially Chosen Transition Probability Distributions
Online Learning Markov Decision Processes Adversarially Chosen Transition Probability Distributions
2013/5/2
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...
Second-Order Non-Stationary Online Learning for Regression
Second-Order Non-Stationary Online Learning for Regression
2013/4/28
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...
Wiley online library电子期刊
2011/12/22
浙大城市学院图书馆共建数据
约翰威立父子出版公司(John Wiley & Sons)创始于1807年，是全球第二大期刊出版商，在化学、生命科学、医学以及工程技术等领域学术文献的出版方面颇具权威性。Blackwell Publishing则是全球三大学术出版社之一，与世界各地600多个学协会组织和专业机构合作出版学术期刊。
Wiley-Blackwell数据库访问平台由Wiley InterScience变更...
Elsevier ScienceDirect OnLine (SDOL)
数学、物理、化学、天文学、医学、生命科学、商业及经济管理、计算机科学、工程技术、能源科学、环境科学、材料科学
2011/12/22
浙大城市学院图书馆共建数据
Elsevier Science 公司出版的期刊是国际公认的高水平的学术期刊，大多数都被SCI、EI所收录，属国际核心期刊。该公司近几年已经与Pergamon、North Holland、Excerpt Medica 等著名出版社合并，将其出版的1100多种期刊全部数字化，通过网络向用户提供服务。该数据库涉及数学、物理、化学、天文学、医学、生命科学、商业及经济管理、计算机科学、工程技术、能源科学、...
Behavior patterns of online users and the effect on information filtering
bipartite networks reshuffling process information filtering
2011/7/19
Understanding the structure and evolution of web-based user-object bipartite networks is an important task since they play a fundamental role in online information filtering. In this paper, we focus o...
Efficient Online Learning via Randomized Rounding
Efficient Online Learning Randomized Rounding
2011/7/6
Most online algorithms used in machine learning today are based on variants of mirror descent or follow-the-leader.
Online algorithms for Nonnegative Matrix Factorization with the Itakura-Saito divergence
Online algorithms Nonnegative Matrix Factorization Itakura-Saito divergence
2011/7/6
Nonnegative matrix factorization (NMF) is now a common tool for audio source separation.
Adaptive and Optimal Online Linear Regression on L1-balls
online linear regression indi-vidual sequences Adaptive Optimal
2011/6/20
We consider the problem of online linear regression on indi-
vidual sequences. The goal in this paper is for the forecaster to output
sequential predictions which are, after T time rounds, almost as...
Online Multiple Kernel Learning for Structured Prediction
Online Multiple Kernel Learning r Structured Prediction
2010/10/19
Despite the recent progress towards efficient multiple kernel learning (MKL), the structured output case remains an open research front. Current approaches involve repeatedly solving a batch learning...