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ICANN
2001
Springer
14 years 2 months ago
On-Line Error Detection of Annotated Corpus Using Modular Neural Networks
This paper proposes an on-line error detecting method for a manually annotated corpus using min-max modular (M3 ) neural networks. The basic idea of the method is to use guaranteed...
Qing Ma, Bao-Liang Lu, Masaki Murata, Michinori Ic...
DATE
2004
IEEE
123views Hardware» more  DATE 2004»
14 years 1 months ago
On Concurrent Error Detection with Bounded Latency in FSMs
We discuss the problem of concurrent error detection (CED) with bounded latency in finite state machines (FSMs). The objective of this approach is to reduce the overhead of CED, a...
Sobeeh Almukhaizim, Petros Drineas, Yiorgos Makris
AGIS
2000
95views more  AGIS 2000»
13 years 9 months ago
Error Detection through Consistency Checking
Following a brief discussion on various aspects of data quality, possible methods are examined for the detection of errors in a spatial database. Using examples, we introduce the c...
Peng Gong, Lan Mu
COLING
2002
13 years 9 months ago
(Semi-)Automatic Detection of Errors in PoS-Tagged Corpora
This paper presents a simple yet in practice very efficient technique serving for automatic detection of those positions in a partof-speech tagged corpus where an error is to be s...
Pavel Kveton, Karel Oliva
ICCD
2006
IEEE
138views Hardware» more  ICCD 2006»
14 years 6 months ago
Delay and Area Efficient First-level Cache Soft Error Detection and Correction
—Soft error rates are an increasing problem in modern VLSI circuits. Commonly used error correcting codes reduce soft error rates in large memories and second level caches but ar...
Karl Mohr, Lawrence Clark