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COLING
2008
15 years 6 months ago
Stopping Criteria for Active Learning of Named Entity Recognition
Active learning is a proven method for reducing the cost of creating the training sets that are necessary for statistical NLP. However, there has been little work on stopping crit...
Florian Laws, Hinrich Schütze
VTC
2006
IEEE
105views Communications» more  VTC 2006»
15 years 10 months ago
Adaptive-Mode Peak-to-Average Power Ratio Reduction Algorithm for OFDM-Based Cognitive Radio
— In this paper, we present a novel low complexity algorithm for reducing the peak-to-average power ratio (PAPR) occurring in OFDM-based cognitive radios. Although several PAPR r...
Rakesh Rajbanshi, Alexander M. Wyglinski, Gary J. ...
ESOP
2004
Springer
15 years 10 months ago
Adaptive Pattern Matching on Binary Data
Pattern matching is an important operation in functional programs. So far, pattern matching has been investigated in the context of structured terms. This paper presents an approac...
Per Gustafsson, Konstantinos F. Sagonas
ITC
2003
IEEE
170views Hardware» more  ITC 2003»
15 years 10 months ago
Double-Tree Scan: A Novel Low-Power Scan-Path Architecture
In a scan-based system with a large number of flip-flops, a major component of power is consumed during scanshift and clocking operation in test mode. In this paper, a novel scan-...
Bhargab B. Bhattacharya, Sharad C. Seth, Sheng Zha...
KI
1999
Springer
15 years 9 months ago
Computing Probabilistic Least Common Subsumers in Description Logics
Computing least common subsumers in description logics is an important reasoning service useful for a number of applications. As shown in the literature, it can, for instance, be u...
Thomas Mantay, Ralf Möller, Alissa Kaplunova