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106
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CORR
2010
Springer
116views Education» more  CORR 2010»
15 years 25 days ago
Interference Alignment as a Rank Constrained Rank Minimization
Abstract--We show that the maximization of the sum degreesof-freedom for the static flat-fading multiple-input multipleoutput (MIMO) interference channel is equivalent to a rank co...
Dimitris S. Papailiopoulos, Alexandros G. Dimakis
110
Voted
DCG
2008
104views more  DCG 2008»
15 years 25 days ago
Finding the Homology of Submanifolds with High Confidence from Random Samples
Recently there has been a lot of interest in geometrically motivated approaches to data analysis in high dimensional spaces. We consider the case where data is drawn from sampling...
Partha Niyogi, Stephen Smale, Shmuel Weinberger
111
Voted
CORR
2006
Springer
130views Education» more  CORR 2006»
15 years 24 days ago
Genetic Programming for Kernel-based Learning with Co-evolving Subsets Selection
Abstract. Support Vector Machines (SVMs) are well-established Machine Learning (ML) algorithms. They rely on the fact that i) linear learning can be formalized as a well-posed opti...
Christian Gagné, Marc Schoenauer, Mich&egra...
CORR
2007
Springer
132views Education» more  CORR 2007»
15 years 22 days ago
Data Cube: A Relational Aggregation Operator Generalizing Group-By, Cross-Tab, and Sub-Totals
Data analysis applications typically aggregate data across many dimensions looking for anomalies or unusual patterns. The SQL aggregate functions and the GROUP BY operator produce ...
Jim Gray, Surajit Chaudhuri, Adam Bosworth, Andrew...
100
Voted
CORR
2007
Springer
164views Education» more  CORR 2007»
15 years 22 days ago
Consistency of the group Lasso and multiple kernel learning
We consider the least-square regression problem with regularization by a block 1-norm, that is, a sum of Euclidean norms over spaces of dimensions larger than one. This problem, r...
Francis Bach