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» A comparison of tight generalization error bounds
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TIT
2010
137views Education» more  TIT 2010»
14 years 5 months ago
Channel coding rate in the finite blocklength regime
This paper investigates the maximal channel coding rate achievable at a given blocklength and error probability. For general classes of channels new achievability and converse bou...
Yury Polyanskiy, H. Vincent Poor, Sergio Verd&uacu...
NIPS
2004
15 years 13 days ago
Co-Validation: Using Model Disagreement on Unlabeled Data to Validate Classification Algorithms
In the context of binary classification, we define disagreement as a measure of how often two independently-trained models differ in their classification of unlabeled data. We exp...
Omid Madani, David M. Pennock, Gary William Flake
CORR
2010
Springer
131views Education» more  CORR 2010»
14 years 11 months ago
A PAC-Bayesian Analysis of Graph Clustering and Pairwise Clustering
We formulate weighted graph clustering as a prediction problem1 : given a subset of edge weights we analyze the ability of graph clustering to predict the remaining edge weights. ...
Yevgeny Seldin
ISSTA
2010
ACM
15 years 1 months ago
Analysis of invariants for efficient bounded verification
SAT-based bounded verification of annotated code consists of translating the code together with the annotations to a propositional formula, and analyzing the formula for specifica...
Juan P. Galeotti, Nicolás Rosner, Carlos L&...
TCS
2011
14 years 6 months ago
Smart PAC-learners
The PAC-learning model is distribution-independent in the sense that the learner must reach a learning goal with a limited number of labeled random examples without any prior know...
Malte Darnstädt, Hans-Ulrich Simon