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» Kernel Measures of Conditional Dependence
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ADMA
2005
Springer
144views Data Mining» more  ADMA 2005»
14 years 2 months ago
One Dependence Augmented Naive Bayes
In real-world data mining applications, an accurate ranking is same important to a accurate classification. Naive Bayes (simply NB) has been widely used in data mining as a simple...
Liangxiao Jiang, Harry Zhang, Zhihua Cai, Jiang Su
SODA
2010
ACM
149views Algorithms» more  SODA 2010»
14 years 6 months ago
Sharp kernel clustering algorithms and their associated Grothendieck inequalities
abstract Subhash Khot Assaf Naor In the kernel clustering problem we are given a (large) n ? n symmetric positive semidefinite matrix A = (aij) with n i=1 n j=1 aij = 0 and a (sma...
Subhash Khot, Assaf Naor
CGO
2009
IEEE
14 years 29 days ago
Alchemist: A Transparent Dependence Distance Profiling Infrastructure
Effectively migrating sequential applications to take advantage of parallelism available on multicore platforms is a well-recognized challenge. This paper addresses important aspec...
Xiangyu Zhang, Armand Navabi, Suresh Jagannathan
NIPS
2004
13 years 10 months ago
Learning Efficient Auditory Codes Using Spikes Predicts Cochlear Filters
The representation of acoustic signals at the cochlear nerve must serve a wide range of auditory tasks that require exquisite sensitivity in both time and frequency. Lewicki (2002...
Evan C. Smith, Michael S. Lewicki
CORR
2004
Springer
133views Education» more  CORR 2004»
13 years 8 months ago
Information theory, multivariate dependence, and genetic network inference
We define the concept of dependence among multiple variables using maximum entropy techniques and introduce a graphical notation to denote the dependencies. Direct inference of in...
Ilya Nemenman