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KDD
2005
ACM
177views Data Mining» more  KDD 2005»
15 years 11 months ago
Combining partitions by probabilistic label aggregation
Data clustering represents an important tool in exploratory data analysis. The lack of objective criteria render model selection as well as the identification of robust solutions...
Tilman Lange, Joachim M. Buhmann
SDM
2012
SIAM
252views Data Mining» more  SDM 2012»
13 years 8 months ago
Learning from Heterogeneous Sources via Gradient Boosting Consensus
Multiple data sources containing different types of features may be available for a given task. For instance, users’ profiles can be used to build recommendation systems. In a...
Xiaoxiao Shi, Jean-François Paiement, David...
KBS
2006
150views more  KBS 2006»
15 years 6 months ago
Clusterer ensemble
Ensemble methods that train multiple learners and then combine their predictions have been shown to be very effective in supervised learning. This paper explores ensemble methods ...
Zhi-Hua Zhou, Wei Tang
WWW
2005
ACM
16 years 6 months ago
Three-level caching for efficient query processing in large Web search engines
Large web search engines have to answer thousands of queries per second with interactive response times. Due to the sizes of the data sets involved, often in the range of multiple...
Xiaohui Long, Torsten Suel
AIMSA
2008
Springer
16 years 15 days ago
Noun Compound Interpretation Using Paraphrasing Verbs: Feasibility Study
Abstract. The paper addresses an important challenge for the automatic processing of English written text: understanding noun compounds’ semantics. Following Downing (1977) [1], ...
Preslav Nakov