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» The Problems of Data Modeling in Software Practice
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CORR
2007
Springer
164views Education» more  CORR 2007»
15 years 4 months 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
SODA
2008
ACM
126views Algorithms» more  SODA 2008»
15 years 5 months ago
On distributing symmetric streaming computations
A common approach for dealing with large data sets is to stream over the input in one pass, and perform computations using sublinear resources. For truly massive data sets, howeve...
Jon Feldman, S. Muthukrishnan, Anastasios Sidiropo...
TIP
2008
107views more  TIP 2008»
15 years 4 months ago
Sampling-Based Correlation Estimation for Distributed Source Coding Under Rate and Complexity Constraints
In many practical distributed source coding (DSC) applications, correlation information has to be estimated at the encoder in order to determine the encoding rate. Coding efficien...
Ngai-Man Cheung, Huisheng Wang, Antonio Ortega
ICSE
2008
IEEE-ACM
16 years 5 months ago
Scalable detection of semantic clones
Several techniques have been developed for identifying similar code fragments in programs. These similar fragments, referred to as code clones, can be used to identify redundant c...
Mark Gabel, Lingxiao Jiang, Zhendong Su
CODES
2006
IEEE
15 years 10 months ago
A formal approach to robustness maximization of complex heterogeneous embedded systems
Embedded system optimization typically considers objectives such as cost, timing, buffer sizes and power consumption. Robustness criteria, i.e. sensitivity of the system to variat...
Arne Hamann, Razvan Racu, Rolf Ernst