开课单位--马萨诸塞大学
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An Online Hierarchical Algorithm for Extreme Clustering[一种用于极端聚类层次算法]
(马萨诸塞大学) Many modern clustering methods scale well to a large number of data items, N, but not to a large number of clusters, K. This paper introduces PERCH, a...
热度:11
(马萨诸塞大学) Many modern clustering methods scale well to a large number of data items, N, but not to a large number of clusters, K. This paper introduces PERCH, a...
热度:11
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Unsolved Problems in Search (and how we might approac them)[搜索中未解决的问题(以及我们如何解决它们)]
Bruce Croft(马萨诸塞大学) Unsolved Problems in Search (and how we might approac them)
热度:26
Bruce Croft(马萨诸塞大学) Unsolved Problems in Search (and how we might approac them)
热度:26
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The Ceaseless Society: What Happens to Our Mind, Body, and Spirit When we Just Never Stop?[无止境社会:当我们永不停止时,我们的心灵,身体和精神会发生什么?]
Jon Kabat-Zinn;Tenzin Priyadarshi(马萨诸塞大学) Throw aside that coarse caricature of a humming, pretzel-legged creature in flowing robes, suggests Jon Kabat-Zinn. Embrace instead the real meaning o...
热度:49
Jon Kabat-Zinn;Tenzin Priyadarshi(马萨诸塞大学) Throw aside that coarse caricature of a humming, pretzel-legged creature in flowing robes, suggests Jon Kabat-Zinn. Embrace instead the real meaning o...
热度:49
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Bi-Directional Joint Inference for Entity Resolution and Segmentation Using Imperatively-Defined Factor Graphs[基于强制定义因子图的实体分解和分割的双向联合推理]
Sameer Singh(马萨诸塞大学) There has been growing interest in using joint inference across multiple subtasks as a mechanism for avoiding the cascading accumulation of errors in ...
热度:42
Sameer Singh(马萨诸塞大学) There has been growing interest in using joint inference across multiple subtasks as a mechanism for avoiding the cascading accumulation of errors in ...
热度:42
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Adaptive Mesh Compression in 3D Computer Graphics using Multiscale Manifold Learning[基于多尺度流形学习的三维计算机图形自适应网格压缩]
Sridhar Mahadevan(马萨诸塞大学) This paper investigates compression of 3D ob jects in computer graphics using manifold learning. Spectral compression uses the eigenvectors of the gra...
热度:107
Sridhar Mahadevan(马萨诸塞大学) This paper investigates compression of 3D ob jects in computer graphics using manifold learning. Spectral compression uses the eigenvectors of the gra...
热度:107
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Constraint Relaxation in Approximate Linear Programs[近似线性规划中的约束松弛]
Marek Petrik(马萨诸塞大学) Approximate linear programming (ALP) is a reinforcement learning technique with nice theoretical properties, but it often performs poorly in practice....
热度:75
Marek Petrik(马萨诸塞大学) Approximate linear programming (ALP) is a reinforcement learning technique with nice theoretical properties, but it often performs poorly in practice....
热度:75
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Evaluation Methods for Topic Models [主题模型评价方法]
Hanna M. Wallach(马萨诸塞大学) A natural evaluation metric for statistical topic models is the probability of held-out documents given a trained model. While exact computation of th...
热度:203
Hanna M. Wallach(马萨诸塞大学) A natural evaluation metric for statistical topic models is the probability of held-out documents given a trained model. While exact computation of th...
热度:203
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Interview with Jane Fountain[Jane Fountain访谈]
Davor Orlič, Jane Fountain(马萨诸塞大学) Fountain is the author of Building the Virtual State: Information Technology and Institutional Change (Brookings Institution Press, 2001) which was aw...
热度:62
Davor Orlič, Jane Fountain(马萨诸塞大学) Fountain is the author of Building the Virtual State: Information Technology and Institutional Change (Brookings Institution Press, 2001) which was aw...
热度:62
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The Semantic Web and Networked Governance: Promise and Challenges[语义网络与网络治理:前景与挑战 ]
Jane Fountain(马萨诸塞大学) The virtual state is a metaphor meant to draw attention to the structures and processes of the state that are becoming increasingly aligned with the s...
热度:43
Jane Fountain(马萨诸塞大学) The virtual state is a metaphor meant to draw attention to the structures and processes of the state that are becoming increasingly aligned with the s...
热度:43