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» Maximum Margin Clustering with Multivariate Loss Function
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ICDM
2006
IEEE
145views Data Mining» more  ICDM 2006»
14 years 9 days ago
Stability Region Based Expectation Maximization for Model-based Clustering
In spite of the initialization problem, the ExpectationMaximization (EM) algorithm is widely used for estimating the parameters in several data mining related tasks. Most popular ...
Chandan K. Reddy, Hsiao-Dong Chiang, Bala Rajaratn...
SIGCOMM
1996
ACM
13 years 10 months ago
On the Relevance of Long-Range Dependence in Network Traffic
There is much experimental evidence that network traffic processes exhibit ubiquitous properties of self-similarity and long-range dependence, i.e., of correlations over a wide ran...
Matthias Grossglauser, Jean-Chrysostome Bolot
VTC
2008
IEEE
140views Communications» more  VTC 2008»
14 years 19 days ago
Diversity Combining of Signals with Different Modulation Levels in Cooperative Relay Networks
In digital cooperative relaying, signals from the source-destination and relay-destination links are combined at the destination to achieve spatial diversity. These signals do not ...
Akram Bin Sediq, Halim Yanikomeroglu
NIPS
2001
13 years 7 months ago
Algorithmic Luckiness
Classical statistical learning theory studies the generalisation performance of machine learning algorithms rather indirectly. One of the main detours is that algorithms are studi...
Ralf Herbrich, Robert C. Williamson
PAMI
2008
161views more  PAMI 2008»
13 years 6 months ago
TRUST-TECH-Based Expectation Maximization for Learning Finite Mixture Models
The Expectation Maximization (EM) algorithm is widely used for learning finite mixture models despite its greedy nature. Most popular model-based clustering techniques might yield...
Chandan K. Reddy, Hsiao-Dong Chiang, Bala Rajaratn...