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KDD
2003
ACM
194views Data Mining» more  KDD 2003»
16 years 2 months ago
Finding recent frequent itemsets adaptively over online data streams
A data stream is a massive unbounded sequence of data elements continuously generated at a rapid rate. Consequently, the knowledge embedded in a data stream is more likely to be c...
Joong Hyuk Chang, Won Suk Lee
KDD
2001
ACM
192views Data Mining» more  KDD 2001»
16 years 2 months ago
Data mining with sparse grids using simplicial basis functions
Recently we presented a new approach [18] to the classification problem arising in data mining. It is based on the regularization network approach but, in contrast to other method...
Jochen Garcke, Michael Griebel
POPL
2005
ACM
16 years 2 months ago
Synthesis of interface specifications for Java classes
While a typical software component has a clearly specified (static) interface in terms of the methods and the input/output types they support, information about the correct sequen...
P. Madhusudan, Pavol Cerný, Rajeev Alur, Wo...
RECOMB
2005
Springer
16 years 2 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...
RECOMB
2004
Springer
16 years 2 months ago
Predicting Genetic Regulatory Response Using Classification: Yeast Stress Response
We present a novel classification-based algorithm called GeneClass for learning to predict gene regulatory response. Our approach is motivated by the hypothesis that in simple orga...
Manuel Middendorf, Anshul Kundaje, Chris Wiggins, ...
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