图 书 馆开课单位--马克斯普朗克研究所
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61Multi-Task Learning for HIV Therapy Screening[多任务学习艾滋病治疗筛选]
Steffen Bickel(马克斯普朗克研究所) We address the problem of learning classifiers for a large number of tasks. We derive a solution that produces resampling weights which match the pool...
热度：287
Steffen Bickel(马克斯普朗克研究所) We address the problem of learning classifiers for a large number of tasks. We derive a solution that produces resampling weights which match the pool...
热度：287
6263Representative Subgraph Sampling using Markov Chain Monte Carlo Methods[用马尔可夫链蒙特卡罗方法进行代表性子抽样]
Karsten Michael Borgwardt(马克斯普朗克研究所) Bioinformatics and the Internet keep generating graph data with thousands of nodes. Most traditional graph algorithms for data analysis are too slow f...
热度：46
Karsten Michael Borgwardt(马克斯普朗克研究所) Bioinformatics and the Internet keep generating graph data with thousands of nodes. Most traditional graph algorithms for data analysis are too slow f...
热度：46
64The UoS LAVA group Approach to Generic Image Categorisation[UOS熔岩组通用的图像分类方法]
Jason Farquhar(马克斯普朗克研究所)
热度：38
Jason Farquhar(马克斯普朗克研究所)
热度：38
65Learning from Distributions via Support Measure Machines[支持测量机的分布学习]
Krikamol Muandet(马克斯普朗克研究所) This paper presents a kernel-based discriminative learning framework on probability measures. Rather than relying on large collections of vectorial tr...
热度：95
Krikamol Muandet(马克斯普朗克研究所) This paper presents a kernel-based discriminative learning framework on probability measures. Rather than relying on large collections of vectorial tr...
热度：95
66The community-search problem and how to plan a successful cocktail party[社区搜索问题以及如何策划一个成功的鸡尾酒会]
Mauro Sozio(马克斯普朗克研究所) A lot of research in graph mining has been devoted in the discovery of communities. Most of the work has focused in the scenario where communities nee...
热度：120
Mauro Sozio(马克斯普朗克研究所) A lot of research in graph mining has been devoted in the discovery of communities. Most of the work has focused in the scenario where communities nee...
热度：120
67Homo heuristicus: Why biased minds make better inferences[启发式人：为什么有偏见的头脑能做出更好的推论]
Gerd Gigerenzer(马克斯普朗克研究所) Heuristics are efficient cognitive processes that ignore information. In contrast to the widely held view that less processing reduces accuracy, the s...
热度：70
Gerd Gigerenzer(马克斯普朗克研究所) Heuristics are efficient cognitive processes that ignore information. In contrast to the widely held view that less processing reduces accuracy, the s...
热度：70
68Helping doctors and patients make sense of health statistics: towards an evidence-based society[帮助医生和病人对健康统计的意义：迈向一个以证据为基础的社会]
Gerd Gigerenzer(马克斯普朗克研究所) Collective statistical illiteracy is the phenomenon that the majority of people do not understand what health statistics mean, or even consistently dr...
热度：31
Gerd Gigerenzer(马克斯普朗克研究所) Collective statistical illiteracy is the phenomenon that the majority of people do not understand what health statistics mean, or even consistently dr...
热度：31
69Detection and Tracking of Occluded People[检测与追踪被遮蔽的人们]
Siyu Tang(马克斯普朗克研究所) We consider the problem of detection and tracking of multiple people in crowded street scenes. State-of-the-art methods perform well in scenes with re...
热度：41
Siyu Tang(马克斯普朗克研究所) We consider the problem of detection and tracking of multiple people in crowded street scenes. State-of-the-art methods perform well in scenes with re...
热度：41
70Thermodynamics as a theory of bounded rational decision-making[有界理性决策理论的热力学]
Daniel Braun;Pedro A. Ortega(马克斯普朗克研究所) Perfectly rational decision-makers maximize expected utility, but crucially ignore the resource costs incurred when determining optimal actions. Here ...
热度：44
Daniel Braun;Pedro A. Ortega(马克斯普朗克研究所) Perfectly rational decision-makers maximize expected utility, but crucially ignore the resource costs incurred when determining optimal actions. Here ...
热度：44