开课单位--悉尼大学
12>>> 1/2

1
FCP Filter: a Dynamic Clustering-Prediction Framework for Customer Behavior[FCP过滤器:一种用于客户行为的动态聚类预测框架]
  Yuanzhe Zhang(悉尼大学) FCP Filter: a Dynamic Clustering-Prediction Framework for Customer Behavior
热度:25

2
Semi-supervised Learning Approach to Generate Neuroimaging Modalities with Adversarial Training[利用对抗训练生成神经成像模式的半监督学习方法]
  Harrison Nguyen(悉尼大学) Semi-supervised Learning Approach to Generate Neuroimaging Modalities with Adversarial Training
热度:18

3
25. Penso BCI System[彭索BCI系统]
  Payam Aghaeipour, Dorian Peters, Rafael A. Calvo(悉尼大学) This video reveals how Brain Computer Interfaces work in basic terms by demonstrating a BCI system called Penso. By providing a less formal nutshell v...
热度:73

4
Empirically Grounding the Evaluation of Creative Systems: An Interaction Design Approach[创造性系统评估的经验基础:交互设计方法]
   Oliver Bown(悉尼大学) In this paper I argue that the evaluation of artificial creative systems in the direct form currently practiced is not in itself empirically well-grou...
热度:40

5
A Model of Runaway Evolution of Creative Domains[创造性领域失控演化模型]
   Oliver Bown(悉尼大学) Creative domains such as art and music have distinct properties, not only in terms of the structure of the artefacts produced, but in terms of their c...
热度:30

6
Honeybees Moving Home - The Effect of Swarm Size on Decision-making[蜜蜂回家 - 群体规模对决策的影响]
  Madeleine Beekman(悉尼大学) Honeybee swarms are faced with a challenging task: how to decide on a new home. The way in which such a decision is made is a prime example of decentr...
热度:43

7
Operator Induced Multi-Task Gaussian Processes for Solving Differential Equations[操作员引用多任务高斯过程去求解微分方程]
  Arman Melkumyan(悉尼大学) Ordinary and partial differential equations are extensively used in different branches of science and engineering to model wide variety of phenomena, ...
热度:93

8
Activity modelling using email and web page classification Activity modelling using email and web page classification [使用电子邮件和网页分类的活动建模]
  Aaron Quigley(悉尼大学) This work explores the modelling of a user’s current activity using a single document and a very small collection of classified documents. We de...
热度:40

9
A Bayesian Approach to Occupancy Mapping with Uncertain Inputs[不确定输入占用映射的贝叶斯方法 ]
  Simon T. O'Callaghan(悉尼大学) This work addresses the problem of occupancy mapping with uncertain measurements taken from one or more mobile robots. Appropriate modeling of sensor...
热度:29

10
Learning CRF Models from Drill Rig Sensors for Autonomous Mining[自主采矿钻机传感器的crf模型学习]
  Sildomar T. Monteiro(悉尼大学 ) This paper investigates an approach that combines ensemble methods with graphical models to analyse multiple sensor measurements in the context of min...
热度:49
12>>> 1/2