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ICDM
2009
IEEE
233views Data Mining» more  ICDM 2009»
16 years 19 days ago
Semi-Supervised Sequence Labeling with Self-Learned Features
—Typical information extraction (IE) systems can be seen as tasks assigning labels to words in a natural language sequence. The performance is restricted by the availability of l...
Yanjun Qi, Pavel Kuksa, Ronan Collobert, Kunihiko ...
ALGOSENSORS
2009
Springer
16 years 17 days ago
Near-Optimal Radio Use for Wireless Network Synchronization
In this paper we consider the model of communication where wireless devices can either switch their radios off to save energy (and hence, can neither send nor receive messages), o...
Milan Bradonjic, Eddie Kohler, Rafail Ostrovsky
IJSNET
2006
92views more  IJSNET 2006»
15 years 6 months ago
TTS: a two-tiered scheduling mechanism for energy conservation in wireless sensor networks
: In this paper, we present a two-tiered scheduling approach for effective energy conservation in wireless sensor networks. The effectiveness of this mechanism relies on dynamicall...
Nurcan Tezcan, Wenye Wang
EMSOFT
2011
Springer
14 years 5 months ago
RT-Xen: towards real-time hypervisor scheduling in xen
As system integration becomes an increasingly important challenge for complex real-time systems, there has been a significant demand for supporting real-time systems in virtualiz...
Sisu Xi, Justin Wilson, Chenyang Lu, Christopher D...
GECCO
2003
Springer
100views Optimization» more  GECCO 2003»
15 years 11 months ago
Studying the Advantages of a Messy Evolutionary Algorithm for Natural Language Tagging
The process of labeling each word in a sentence with one of its lexical categories (noun, verb, etc) is called tagging and is a key step in parsing and many other language processi...
Lourdes Araujo