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KDD
2004
ACM
132views Data Mining» more  KDD 2004»
14 years 9 months ago
A probabilistic framework for semi-supervised clustering
Unsupervised clustering can be significantly improved using supervision in the form of pairwise constraints, i.e., pairs of instances labeled as belonging to same or different clu...
Sugato Basu, Mikhail Bilenko, Raymond J. Mooney
KDD
2009
ACM
206views Data Mining» more  KDD 2009»
14 years 9 months ago
Ranking-based clustering of heterogeneous information networks with star network schema
A heterogeneous information network is an information network composed of multiple types of objects. Clustering on such a network may lead to better understanding of both hidden s...
Yizhou Sun, Yintao Yu, Jiawei Han
ACMMSP
2004
ACM
125views Hardware» more  ACMMSP 2004»
14 years 2 months ago
Improving trace cache hit rates using the sliding window fill mechanism and fill select table
As superscalar processors become increasingly wide, it is inevitable that the large set of instructions to be fetched every cycle will span multiple noncontiguous basic blocks. Th...
Muhammad Shaaban, Edward Mulrane
VRIPHYS
2010
13 years 3 months ago
Optimization-based Fluid Simulation on Unstructured Meshes
We present a novel approach to fluid simulation, allowing us to take into account the surface energy in a precise manner. This new approach combines a novel, topology-adaptive app...
Marek Krzysztof Misztal, Robert Bridson, Kenny Erl...
KDD
2007
ACM
206views Data Mining» more  KDD 2007»
14 years 9 months ago
Automatic labeling of multinomial topic models
Multinomial distributions over words are frequently used to model topics in text collections. A common, major challenge in applying all such topic models to any text mining proble...
Qiaozhu Mei, Xuehua Shen, ChengXiang Zhai