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KDD
2007
ACM
276views Data Mining» more  KDD 2007»
16 years 3 months ago
Nonlinear adaptive distance metric learning for clustering
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
Jianhui Chen, Zheng Zhao, Jieping Ye, Huan Liu
103
Voted
CHI
2006
ACM
16 years 3 months ago
Responsiveness in instant messaging: predictive models supporting inter-personal communication
For the majority of us, inter-personal communication is an essential part of our daily lives. Instant Messaging, or IM, has been growing in popularity for personal and workrelated...
Daniel Avrahami, Scott E. Hudson
POPL
2008
ACM
16 years 3 months ago
Foundations for structured programming with GADTs
GADTs are at the cutting edge of functional programming and become more widely used every day. Nevertheless, the semantic foundations underlying GADTs are not well understood. In ...
Patricia Johann, Neil Ghani
160
Voted
RECOMB
2005
Springer
16 years 3 months ago
Segmentation Conditional Random Fields (SCRFs): A New Approach for Protein Fold Recognition
Abstract. Protein fold recognition is an important step towards understanding protein three-dimensional structures and their functions. A conditional graphical model, i.e. segmenta...
Yan Liu, Jaime G. Carbonell, Peter Weigele, Vanath...
112
Voted
OSDI
2006
ACM
16 years 3 months ago
CRAMM: Virtual Memory Support for Garbage-Collected Applications
Existing virtual memory systems usually work well with applications written in C and C++, but they do not provide adequate support for garbage-collected applications. The performa...
Ting Yang, Emery D. Berger, Scott F. Kaplan, J. El...
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