图 书 馆开课单位--马萨诸塞大学
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1An 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：15
(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：15
2Unsolved 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：34
Bruce Croft(马萨诸塞大学) Unsolved Problems in Search (and how we might approac them)
热度：34
3The 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：56
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：56
45Bi-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：47
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：47
6Adaptive 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：108
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：108
7Constraint 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：81
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：81
8Evaluation 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：212
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：212
9Interview 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：70
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：70
10The 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：51
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：51