图 书 馆开课单位--伦敦大学
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11Computational Creativity Tutorial[计算创造力教程]
Geraint Wiggins(伦敦大学) A flavour of Computational Creativity (CC) research will be provided by an introductory tutorial from Geraint Wiggins and Tony Veale. The tutorial is ...
热度：88
Geraint Wiggins(伦敦大学) A flavour of Computational Creativity (CC) research will be provided by an introductory tutorial from Geraint Wiggins and Tony Veale. The tutorial is ...
热度：88
12Parameter Space Interaction from a Creative Systems Perspective[从创造性系统的角度看参数空间相互作用]
Robert Tubb(伦敦大学) This paper proposes a new theoretical model for the design of creativity-enhancing interfaces. The combination of user and content creation software i...
热度：30
Robert Tubb(伦敦大学) This paper proposes a new theoretical model for the design of creativity-enhancing interfaces. The combination of user and content creation software i...
热度：30
13Computational Creativity: A Philosophical Approach, and an Approach to Philosophy[计算创造力：一种哲学方法，一种哲学方法]
Stephen McGregor(伦敦大学) This paper seeks to situate computational creativity in relation to philosophy and in particular philosophy of mind. The goal is to investigate issues...
热度：155
Stephen McGregor(伦敦大学) This paper seeks to situate computational creativity in relation to philosophy and in particular philosophy of mind. The goal is to investigate issues...
热度：155
14Assessing Progress in Building Autonomously Creative Systems[评估建立自主创新系统的进展]
Simon Colton(伦敦大学) Determining conclusively whether a new version of software creatively exceeds a previous version or a third party system is difficult, yet very import...
热度：28
Simon Colton(伦敦大学) Determining conclusively whether a new version of software creatively exceeds a previous version or a third party system is difficult, yet very import...
热度：28
15Transitional Spaces: From Critical Spatial Practice to Site-Writing[过渡空间：从批判性空间实践到现场写作]
Jane Rendell(伦敦大学) This talk explores “critical spatial practice”, a term I introduced in 2002 to refer to urban interventions that transgress the limits of ...
热度：45
Jane Rendell(伦敦大学) This talk explores “critical spatial practice”, a term I introduced in 2002 to refer to urban interventions that transgress the limits of ...
热度：45
16Active Inference and Uncertainty[主动推理与不确定性]
Karl Friston(伦敦大学) In this presentation, I will rehearse the free-energy formulation of action and perception, with a special focus on the representation of uncertainty:...
热度：93
Karl Friston(伦敦大学) In this presentation, I will rehearse the free-energy formulation of action and perception, with a special focus on the representation of uncertainty:...
热度：93
17How do public sector values get into public sector machine learning systems, if at all?[如果有的话，公共部门的价值观如何进入公共部门的机器学习系统？]
Michael Veale(伦敦大学) More machine learning algorithm–powered decision-support systems are piloted and deployed in the public sector each day to help detect individua...
热度：44
Michael Veale(伦敦大学) More machine learning algorithm–powered decision-support systems are piloted and deployed in the public sector each day to help detect individua...
热度：44
18PMBP: PatchMatch Belief Propagation for Correspondence Field Estimation[PMBP：用于对应场估计的匹配信念传播算法]
Frederic Besse(伦敦大学) PatchMatch is a simple, yet very powerful and successful method for optimizing continuous labelling problems. The algorithm has two main ingredients: ...
热度：47
Frederic Besse(伦敦大学) PatchMatch is a simple, yet very powerful and successful method for optimizing continuous labelling problems. The algorithm has two main ingredients: ...
热度：47
19A Family of Penalty Functions for Structured Sparsity[结构稀疏的罚函数族]
Jean Morales(伦敦大学) We study the problem of learning a sparse linear regression vector under additional conditions on the structure of its sparsity pattern. We present a ...
热度：43
Jean Morales(伦敦大学) We study the problem of learning a sparse linear regression vector under additional conditions on the structure of its sparsity pattern. We present a ...
热度：43
20Recurrent linear models of simultaneously-recorded neural populations[同步记录神经种群的回归线性模型]
Maneesh Sahani(伦敦大学) Population neural recordings with long-range temporal structure are often best understood in terms of a shared underlying low-dimensional dynamical pr...
热度：42
Maneesh Sahani(伦敦大学) Population neural recordings with long-range temporal structure are often best understood in terms of a shared underlying low-dimensional dynamical pr...
热度：42