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» A Monotonic Measure for Optimal Feature Selection
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ECML
2007
Springer
15 years 6 months ago
Fast Optimization Methods for L1 Regularization: A Comparative Study and Two New Approaches
L1 regularization is effective for feature selection, but the resulting optimization is challenging due to the non-differentiability of the 1-norm. In this paper we compare state...
Mark Schmidt, Glenn Fung, Rómer Rosales
SIGMOD
2009
ACM
201views Database» more  SIGMOD 2009»
15 years 12 months ago
Cost based plan selection for xpath
We present a complete XPath cost-based optimization and execution framework and demonstrate its effectiveness and efficiency for a variety of queries and datasets. The framework i...
Haris Georgiadis, Minas Charalambides, Vasilis Vas...
MICRO
2002
IEEE
164views Hardware» more  MICRO 2002»
15 years 4 months ago
A quantitative framework for automated pre-execution thread selection
Pre-execution attacks cache misses for which conventional address-prediction driven prefetching is ineffective. In pre-execution, copies of cache miss computations are isolated fr...
Amir Roth, Gurindar S. Sohi
EJASMP
2010
196views more  EJASMP 2010»
14 years 6 months ago
Optimizing Automatic Speech Recognition for Low-Proficient Non-Native Speakers
Computer Assisted Language Learning (CALL) applications for improving the oral skills of low-proficient learners have to cope with nonnative speech that is particularly challengin...
Joost van Doremalen, Catia Cucchiarini, Helmer Str...
CMOT
2002
112views more  CMOT 2002»
14 years 11 months ago
Finding Optimal Targets for Change Agents: A Computer Simulation of Innovation Diffusion
We introduce a diffusion of innovation model based on a network threshold approach. Realistic network and threshold data were gathered regarding the diffusion of new software tool...
Dirk Maienhofer, Thomas A. Finholt