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KDD
1998
ACM
114views Data Mining» more  KDD 1998»
15 years 11 months ago
Coactive Learning for Distributed Data Mining
Weintroducecoactive learning as a distributed learning approachto data miningin networkedand distributed databases. Thecoactive learningalgorithmsact on independent data sets and ...
Dan L. Grecu, Lee A. Becker
ICML
2010
IEEE
15 years 7 months ago
Budgeted Nonparametric Learning from Data Streams
We consider the problem of extracting informative exemplars from a data stream. Examples of this problem include exemplarbased clustering and nonparametric inference such as Gauss...
Ryan Gomes, Andreas Krause
CPM
1999
Springer
144views Combinatorics» more  CPM 1999»
15 years 11 months ago
Ziv Lempel Compression of Huge Natural Language Data Tries Using Suffix Arrays
We present a very efficient, in terms of space and access speed, data structure for storing huge natural language data sets. The structure is described as LZ (Ziv Lempel) compresse...
Strahil Ristov, Eric Laporte
JMM2
2008
80views more  JMM2 2008»
15 years 6 months ago
Reliable Transmission of Audio Streams in Lossy Channels Using Application Level Data Hiding
The paper improves the reliability of audio streams in a lossy channel. The mechanism groups audio data samples into source and carrier sets. The carrier set carry the information ...
Parag Agarwal, Balakrishnan Prabhakaran
COLING
2010
15 years 1 months ago
Adaptive Development Data Selection for Log-linear Model in Statistical Machine Translation
This paper addresses the problem of dynamic model parameter selection for loglinear model based statistical machine translation (SMT) systems. In this work, we propose a principle...
Mu Li, Yinggong Zhao, Dongdong Zhang, Ming Zhou