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ICMLA
2007
15 years 7 months ago
Maximum Likelihood Quantization of Genomic Features Using Dynamic Programming
Dynamic programming is introduced to quantize a continuous random variable into a discrete random variable. Quantization is often useful before statistical analysis or reconstruct...
Mingzhou (Joe) Song, Robert M. Haralick, Sté...
NIPS
2008
15 years 7 months ago
On the Generalization Ability of Online Strongly Convex Programming Algorithms
This paper examines the generalization properties of online convex programming algorithms when the loss function is Lipschitz and strongly convex. Our main result is a sharp bound...
Sham M. Kakade, Ambuj Tewari
SBACPAD
2004
IEEE
106views Hardware» more  SBACPAD 2004»
15 years 7 months ago
High Performance Communication System Based on Generic Programming
This paper presents a high performance communication system based on generic programming. The system adapts itself according to the protocol being used on communication, simplifyi...
André Luís Gobbi Sanches, Fernando R...
174
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NIPS
2003
15 years 7 months ago
Statistical Debugging of Sampled Programs
We present a novel strategy for automatically debugging programs given sampled data from thousands of actual user runs. Our goal is to pinpoint those features that are most correl...
Alice X. Zheng, Michael I. Jordan, Ben Liblit, Ale...
JMLR
2006
87views more  JMLR 2006»
15 years 6 months ago
Second Order Cone Programming Approaches for Handling Missing and Uncertain Data
We propose a novel second order cone programming formulation for designing robust classifiers which can handle uncertainty in observations. Similar formulations are also derived f...
Pannagadatta K. Shivaswamy, Chiranjib Bhattacharyy...