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JUCS
2006
185views more  JUCS 2006»
15 years 18 days ago
The Berlin Brain-Computer Interface: Machine Learning Based Detection of User Specific Brain States
We outline the Berlin Brain-Computer Interface (BBCI), a system which enables us to translate brain signals from movements or movement intentions into control commands. The main co...
Benjamin Blankertz, Guido Dornhege, Steven Lemm, M...
100
Voted
MANSCI
2006
104views more  MANSCI 2006»
15 years 18 days ago
Procuring Fast Delivery: Sole Sourcing with Information Asymmetry
This paper studies a queuing model in which a buyer sources a good or service from an single supplier chosen from a pool of suppliers. The buyer seeks to minimize the sum of her p...
Gérard P. Cachon, Fuqiang Zhang
104
Voted
NLE
2008
118views more  NLE 2008»
15 years 18 days ago
Part-of-speech tagging of Modern Hebrew text
Words in Semitic texts often consist of a concatenation of word segments, each corresponding to a Part-of-Speech (POS) category. Semitic words may be ambiguous with regard to thei...
Roy Bar-Haim, Khalil Sima'an, Yoad Winter
PRL
2006
96views more  PRL 2006»
15 years 17 days ago
Fast codebook search algorithms based on tree-structured vector quantization
Tree-Structured Vector Quantization (TSVQ) is a highly efficient technique for locating an appropriate codeword for each input vector. The algorithm does not guarantee that the sel...
Chin-Chen Chang, Yu-Chiang Li, Jun-Bin Yeh
99
Voted
SIGIR
2008
ACM
15 years 17 days ago
Directly optimizing evaluation measures in learning to rank
One of the central issues in learning to rank for information retrieval is to develop algorithms that construct ranking models by directly optimizing evaluation measures used in i...
Jun Xu, Tie-Yan Liu, Min Lu, Hang Li, Wei-Ying Ma
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