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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...
166
Voted
NIPS
2004
15 years 7 months ago
Supervised Graph Inference
We formulate the problem of graph inference where part of the graph is known as a supervised learning problem, and propose an algorithm to solve it. The method involves the learni...
Jean-Philippe Vert, Yoshihiro Yamanishi
CORR
2010
Springer
89views Education» more  CORR 2010»
15 years 3 months ago
A Microwave Imaging and Enhancement Technique from Noisy Synthetic Data
: An inverse iterative algorithm for microwave imaging based on moment method solution is presented here. The iterative scheme has been developed on constrained optimization techni...
Anjan Kumar Kundu, Bijoy Bandyopadhyay, Sugata San...
ENTCS
2010
122views more  ENTCS 2010»
15 years 3 months ago
Efficient Earley Parsing with Regular Right-hand Sides
We present a new variant of the Earley parsing algorithm capable of efficiently supporting context-free grammars with regular right hand-sides. We present the core state-machine d...
Trevor Jim, Yitzhak Mandelbaum
JMLR
2010
109views more  JMLR 2010»
15 years 26 days ago
Matrix Completion from Noisy Entries
Given a matrix M of low-rank, we consider the problem of reconstructing it from noisy observations of a small, random subset of its entries. The problem arises in a variety of app...
Raghunandan H. Keshavan, Andrea Montanari, Sewoong...