图 书 馆开课单位--卡内基梅隆大学
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201A Generalization of Haussler's Convolution Kernel - Mapping Kernel[Haussler卷积核映射核的推广]
Kilho Shin(卡内基梅隆大学) Haussler's convolution kernel provides a successful framework for engineering new positive semidefinite kernels, and has been applied to a wide range ...
热度：70
Kilho Shin(卡内基梅隆大学) Haussler's convolution kernel provides a successful framework for engineering new positive semidefinite kernels, and has been applied to a wide range ...
热度：70
202No-Regret Learning in Convex Games[凸对策中的无遗憾学习]
Geoffrey J. Gordon(卡内基梅隆大学) Quite a bit is known about minimizing different kinds of regret in experts problems, and how these regret types relate to types of equilibria in the m...
热度：97
Geoffrey J. Gordon(卡内基梅隆大学) Quite a bit is known about minimizing different kinds of regret in experts problems, and how these regret types relate to types of equilibria in the m...
热度：97
203Structured Prediction Problems in Natural Language Processing[自然语言处理中的结构化预测问题]
William Cohen, Michael Collins(卡内基梅隆大学) Modeling language at the syntactic or semantic level is a key problem in natural language processing, and involves a challenging set of structured pre...
热度：69
William Cohen, Michael Collins(卡内基梅隆大学) Modeling language at the syntactic or semantic level is a key problem in natural language processing, and involves a challenging set of structured pre...
热度：69
204Human Computation[人类计算]
Luis von Ahn(卡内基梅隆大学) This talk is about harnessing human brainpower to solve problems that computers cannot. Although computers have advanced dramatically over the last 50...
热度：67
Luis von Ahn(卡内基梅隆大学) This talk is about harnessing human brainpower to solve problems that computers cannot. Although computers have advanced dramatically over the last 50...
热度：67
205What Mental States? Exploring How Dimensionality Reduction Might Contribute to the Refinement of Cognitive Models[多学科fMRI数据的分层高斯朴素贝叶斯分类器]
Kenneth Whang(卡内基梅隆大学) Questions in cognitive neuroscience are often framed in terms of correspondences between known types: How is brain state X related to cognitive state...
热度：40
Kenneth Whang(卡内基梅隆大学) Questions in cognitive neuroscience are often framed in terms of correspondences between known types: How is brain state X related to cognitive state...
热度：40
206Hidden Process Models:Decoding Overlapping Cognitive States with Unknown Timing[隐藏过程模型：解码具有未知时序的重叠认知状态]
Rebecca Hutchinson(卡内基梅隆大学) We use Hidden Process Models (HPMs) to evaluate different models of a functional Magnetic Resonance Imaging (fMRI) study in which subjects decide wh...
热度：36
Rebecca Hutchinson(卡内基梅隆大学) We use Hidden Process Models (HPMs) to evaluate different models of a functional Magnetic Resonance Imaging (fMRI) study in which subjects decide wh...
热度：36
207PLAL: Cluster-based active learning[PLAL：基于集群的主动学习]
Ruth Urner(卡内基梅隆大学) We investigate the label complexity of active learning under some smoothness assumptions on the data-generating process.We propose a procedure, PLAL, ...
热度：90
Ruth Urner(卡内基梅隆大学) We investigate the label complexity of active learning under some smoothness assumptions on the data-generating process.We propose a procedure, PLAL, ...
热度：90