2012 Workshop on Fault Diagnosis and Tolerance in Cryptography A DFA on AES based on the entropy of error distributions Ronan Lashermes‡ , Guillaume Reymond‡, Jean-Max Dutertre∗ , Jacques Fournier‡, Bruno Robiss

Source URL: ronan.lashermes.0nline.fr

302 IEEE TRANSACTIONS ON COMPUTERS, VOL. 44, NO. 2. FEBRUARY 1995 Floating Point Fault Tolerance with Backward Error Assertions

Source URL: crc.stanford.edu

H-MATRIX AND BLOCK ERROR TOLERANCES arXiv:1110.2807v1 [math.NA] 12 Oct 2011 ANDREW M. BRADLEY∗ Abstract. We describe a new method to map the requested error tolerance on an H-matrix

Source URL: earthsci.stanford.edu

PDF Document

Source URL: www.work.caltech.edu

• Machine learning
• Learning
• Artificial intelligence
• Cognition
• Perceptron
• Supervised learning
• Expected value
• Probability distribution
• Online machine learning
• Error Tolerance

A Sufficient Condition for Polynomial Distribution-Dependent Learnability Martin Anthony Department of Mathematics London School of Economics Houghton Street

Source URL: www.maths.lse.ac.uk

• Computational learning theory
• Machine learning
• Learning
• Theoretical computer science
• Cognition
• Probably approximately correct learning
• Sample complexity
• VC dimension
• Mode
• Occam learning
• Error Tolerance

Proceedings of the International MultiConference of Engineers and Computer Scientists 2012 Vol II, IMECS 2012, March, 2012, Hong Kong A Concurrent Error Detection Based FaultTolerant 32 nm XOR-XNOR Circuit Implem

Source URL: www.bpti.lt

• Logic gates
• Digital electronics
• Electronic design
• XOR gate
• XNOR gate
• Stuck-at fault
• Fault model
• Transistor fault
• OR gate
• Fault tolerance
• Pass transistor logic
• Exclusive or

Comparing Systems Using Sample Data Raj Jain Washington University in Saint Louis Saint Louis, MO 63130

Source URL: www.cs.wustl.edu

• Statistical inference
• Measurement
• Summary statistics
• Regression analysis
• Confidence interval
• Econometrics
• Sample size determination
• Standard error
• Standard deviation
• Errors and residuals
• Statistics
• Tolerance interval

RJ10391 (A0610-035) October 24, 2006 Computer Science IBM Research Report Notes on Reliability Models for Non-MDS Erasure Codes James Lee Hafner, KK Rao

Source URL: domino.watson.ibm.com

• Coding theory
• Error detection and correction
• Engineering
• Reliability engineering
• Computing
• RAID
• Systems science
• Low-density parity-check code
• Erasure code
• ReedSolomon error correction
• Failure rate
• Fault tolerance

ERROR-DRIVEN LEARNING IN OT AND HG: A COMPARISON GIORGIO MAGRI [to appear with minor modifications in Phonology] Abstract. The OT error-driven learner is known to admit guarantees of efficiency, stochastic tolerance

Source URL: roa.rutgers.edu

LOWER BOUNDS ON LEARNING RANDOM STRUCTURES WITH STATISTICAL QUERIES 1

Source URL: www.levreyzin.com

• Computational learning theory
• Machine learning
• Theoretical computer science
• Probably approximately correct learning
• Error Tolerance