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87
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AUSDM
2006
Springer
112views Data Mining» more  AUSDM 2006»
15 years 4 months ago
Accuracy Estimation With Clustered Dataset
If the dataset available to machine learning results from cluster sampling (e.g. patients from a sample of hospital wards), the usual cross-validation error rate estimate can lead...
Ricco Rakotomalala, Jean-Hugues Chauchat, Fran&cce...
107
Voted
NIPS
2008
15 years 2 months ago
Clusters and Coarse Partitions in LP Relaxations
We propose a new class of consistency constraints for Linear Programming (LP) relaxations for finding the most probable (MAP) configuration in graphical models. Usual cluster-base...
David Sontag, Amir Globerson, Tommi Jaakkola
PR
2007
293views more  PR 2007»
15 years 9 days ago
Mean shift-based clustering
In this paper, a mean shift-based clustering algorithm is proposed. The mean shift is a kernel-type weighted mean procedure. Herein, we first discuss three classes of Gaussian, C...
Kuo-Lung Wu, Miin-Shen Yang
RAID
2010
Springer
14 years 11 months ago
On Challenges in Evaluating Malware Clustering
Malware clustering and classification are important tools that enable analysts to prioritize their malware analysis efforts. The recent emergence of fully automated methods for ma...
Peng Li, Limin Liu, Debin Gao, Michael K. Reiter
117
Voted
WWW
2009
ACM
16 years 1 months ago
Query clustering using click-through graph
In this paper we describe a problem of discovering query clusters from a click-through graph of web search logs. The graph consists of a set of web search queries, a set of pages ...
Jeonghee Yi, Farzin Maghoul