开课单位--伦敦帝国学院
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Automated detection of chaotic and oscillatory regimes[混沌和振荡机制的自动检测]
  Daniel Silk(伦敦帝国学院) Qualitative parameter estimation algorithms are a promising but underdeveloped class of inference methods [1]. They offer the ability to infer paramet...
热度：49

12
Dynamic Asset Allocation for Bivariate Enhanced Index Tracking using Sparse PLS[使用稀PLS跟踪动态资产分配的双变量增强指数]
  Brian McWilliams(伦敦帝国学院) Index tracking is a popular portfolio management strategy which involves creating a portfolio whose returns track very closely those achieved by a ben...
热度：34

13
Active Matching: Efficient Guided Search for Image Correspondence[主动匹配：图像对应的高效引导式搜索]
  Andrew Davison(伦敦帝国学院) Over the past few years we have worked on an approach to matching features between images we takes full advantage of the priors which are normally ava...
热度：57

14
Abductive Stochastic Logic Programs for Metabolic Network Inhibition Learning[代谢网络抑制学习的诱导随机逻辑程序]
  Jose Santos(伦敦帝国学院) We revisit an application developed originally using Induc- tive Logic Programming (ILP) by replacing the underlying Logic Pro- gram (LP) descript...
热度：9

15
Predicting anti-cancer molecule activity using machine learning algorithms[使用机器学习算法预测抗癌分子活性]
  Jose Santos(伦敦帝国学院) In this paper we study the anti-cancer activity of - 4.000 unique compounds against a set of 60 cell lines (e.g. Leukemia, Prostate, Breast). Small ...
热度：18

16
Towards an Agent-based Approach for Verification of OWL-S Process Models [面向基于代理的OWL-S过程模型验证方法]
  Monika Solanki(伦敦帝国学院) ABSTRACT: In this paper we investigate the transformation of OWL-S process models to ISPL - the system description language for MCMAS, a symbolic mode...
热度：29
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