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» Generalization Error Bounds Using Unlabeled Data
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KDD
2008
ACM
259views Data Mining» more  KDD 2008»
14 years 9 months ago
Using ghost edges for classification in sparsely labeled networks
We address the problem of classification in partially labeled networks (a.k.a. within-network classification) where observed class labels are sparse. Techniques for statistical re...
Brian Gallagher, Hanghang Tong, Tina Eliassi-Rad, ...
CORR
2008
Springer
87views Education» more  CORR 2008»
13 years 8 months ago
Green Codes: Energy-Efficient Short-Range Communication
Abstract-- A green code attempts to minimize the total energy per-bit required to communicate across a noisy channel. The classical information-theoretic approach neglects the ener...
Pulkit Grover, Anant Sahai
DAGM
2011
Springer
12 years 8 months ago
Agnostic Domain Adaptation
The supervised learning paradigm assumes in general that both training and test data are sampled from the same distribution. When this assumption is violated, we are in the setting...
Alexander Vezhnevets, Joachim M. Buhmann
NIPS
2004
13 years 9 months ago
Maximum-Margin Matrix Factorization
We present a novel approach to collaborative prediction, using low-norm instead of low-rank factorizations. The approach is inspired by, and has strong connections to, large-margi...
Nathan Srebro, Jason D. M. Rennie, Tommi Jaakkola
TIT
2008
94views more  TIT 2008»
13 years 8 months ago
Why Do Block Length and Delay Behave Differently if Feedback Is Present?
Abstract--For output-symmetric discrete memoryless channels (DMCs) at even moderately high rates, fixed-block-length communication systems show no improvements in their error expon...
Anant Sahai