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» Evaluating algorithms that learn from data streams
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ICDE
2009
IEEE
135views Database» more  ICDE 2009»
16 years 8 months ago
Forward Decay: A Practical Time Decay Model for Streaming Systems
Temporal data analysis in data warehouses and data streaming systems often uses time decay to reduce the importance of older tuples, without eliminating their influence, on the res...
Graham Cormode, Vladislav Shkapenyuk, Divesh Sriva...
MICAI
2007
Springer
16 years 17 days ago
An EM Algorithm to Learn Sequences in the Wavelet Domain
The wavelet transform has been used for feature extraction in many applications of pattern recognition. However, in general the learning algorithms are not designed taking into acc...
Diego H. Milone, Leandro E. Di Persia
ICDM
2007
IEEE
187views Data Mining» more  ICDM 2007»
16 years 22 days ago
Statistical Learning Algorithm for Tree Similarity
Tree edit distance is one of the most frequently used distance measures for comparing trees. When using the tree edit distance, we need to determine the cost of each operation, bu...
Atsuhiro Takasu, Daiji Fukagawa, Tatsuya Akutsu
NAACL
2010
15 years 4 months ago
Stream-based Translation Models for Statistical Machine Translation
Typical statistical machine translation systems are trained with static parallel corpora. Here we account for scenarios with a continuous incoming stream of parallel training data...
Abby Levenberg, Chris Callison-Burch, Miles Osborn...
GECCO
2005
Springer
158views Optimization» more  GECCO 2005»
15 years 12 months ago
Constructive induction and genetic algorithms for learning concepts with complex interaction
Constructive Induction is the process of transforming the original representation of hard concepts with complex interaction into a representation that highlights regularities. Mos...
Leila Shila Shafti, Eduardo Pérez