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ICDM
2010
IEEE
135views Data Mining» more  ICDM 2010»
15 years 1 months ago
Learning a Bi-Stochastic Data Similarity Matrix
An idealized clustering algorithm seeks to learn a cluster-adjacency matrix such that, if two data points belong to the same cluster, the corresponding entry would be 1; otherwise ...
Fei Wang, Ping Li, Arnd Christian König
147
Voted
DAC
2011
ACM
14 years 3 months ago
AENEID: a generic lithography-friendly detailed router based on post-RET data learning and hotspot detection
In the era of deep sub-wavelength lithography for nanometer VLSI designs, manufacturability and yield issues are critical and need to be addressed during the key physical design i...
Duo Ding, Jhih-Rong Gao, Kun Yuan, David Z. Pan
141
Voted
ICPR
2008
IEEE
16 years 5 months ago
Fuzzy rule selection using Iterative Rule Learning for speech data classification
Fuzzy rule base systems have been successfully used for pattern classification. These systems focus on generating a rule-base from numerical input data. The resulting rule-base ca...
Bin Ma, Chng Eng Siong, Haizhou Li, Omid Dehzangi
SETN
2004
Springer
15 years 9 months ago
Incremental Mixture Learning for Clustering Discrete Data
Abstract. This paper elaborates on an efficient approach for clustering discrete data by incrementally building multinomial mixture models through likelihood maximization using the...
Konstantinos Blekas, Aristidis Likas
WEBDB
2010
Springer
155views Database» more  WEBDB 2010»
15 years 9 months ago
Learning Topical Transition Probabilities in Click Through Data with Regression Models
The transition of search engine users’ intents has been studied for a long time. The knowledge of intent transition, once discovered, can yield a better understanding of how diï...
Xiao Zhang, Prasenjit Mitra