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» On the futility of statistical power optimization
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NIPS
2007
13 years 9 months ago
The Tradeoffs of Large Scale Learning
This contribution develops a theoretical framework that takes into account the effect of approximate optimization on learning algorithms. The analysis shows distinct tradeoffs for...
Léon Bottou, Olivier Bousquet
CORR
2008
Springer
131views Education» more  CORR 2008»
13 years 7 months ago
Quantized Multimode Precoding in Spatially Correlated Multi-Antenna Channels
Abstract-- Multimode precoding, where the number of independent data-streams is adapted optimally, can be used to maximize the achievable throughput in multi-antenna communication ...
Vasanthan Raghavan, Venugopal V. Veeravalli, Akbar...
JGO
2011
122views more  JGO 2011»
13 years 2 months ago
Towards the global solution of the maximal correlation problem
The maximal correlation problem (MCP) aiming at optimizing correlation between sets of variables plays a very important role in many areas of statistical applications. Currently, a...
Lei-Hong Zhang, Li-Zhi Liao, Li-Ming Sun
KDD
2004
ACM
158views Data Mining» more  KDD 2004»
14 years 8 months ago
A generalized maximum entropy approach to bregman co-clustering and matrix approximation
Co-clustering is a powerful data mining technique with varied applications such as text clustering, microarray analysis and recommender systems. Recently, an informationtheoretic ...
Arindam Banerjee, Inderjit S. Dhillon, Joydeep Gho...
SIGMOD
2005
ACM
162views Database» more  SIGMOD 2005»
14 years 7 months ago
Fast and Approximate Stream Mining of Quantiles and Frequencies Using Graphics Processors
We present algorithms for fast quantile and frequency estimation in large data streams using graphics processor units (GPUs). We exploit the high computational power and memory ba...
Naga K. Govindaraju, Nikunj Raghuvanshi, Dinesh Ma...