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KDD
2006
ACM
163views Data Mining» more  KDD 2006»
16 years 7 months ago
New EM derived from Kullback-Leibler divergence
We introduce a new EM framework in which it is possible not only to optimize the model parameters but also the number of model components. A key feature of our approach is that we...
Longin Jan Latecki, Marc Sobel, Rolf Lakämper
KDD
2004
ACM
190views Data Mining» more  KDD 2004»
16 years 7 months ago
Kernel k-means: spectral clustering and normalized cuts
Kernel k-means and spectral clustering have both been used to identify clusters that are non-linearly separable in input space. Despite significant research, these methods have re...
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis
AAAI
2007
15 years 9 months ago
Cautious Inference in Collective Classification
Collective classification can significantly improve accuracy by exploiting relationships among instances. Although several collective inference procedures have been reported, they...
Luke McDowell, Kalyan Moy Gupta, David W. Aha
DAC
2005
ACM
15 years 8 months ago
Cognitive radio techniques for wide area networks
The cellular wireless market has begun the transition to data centric services including high speed internet access, video, high quality audio, and gaming. Communications technolo...
William Krenik, Anuj Batra
INFOCOM
2006
IEEE
16 years 18 days ago
Optimizing Caching Policy for Loss Recovery in Reliable Multicast
— In reliable multicast, data packets can be cached at some nodes such as repair servers for future possible retransmission in loss recovery schemes. How to cache packets to opti...
Feng Xie, Gang Feng, Xun Yang