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PPSN
1990
Springer
15 years 10 months ago
Feature Construction for Back-Propagation
T h e ease of learning concepts f r o m examples in empirical machine learning depends on the attributes used for describing the training d a t a . We show t h a t decision-tree b...
Selwyn Piramuthu
BMCBI
2010
96views more  BMCBI 2010»
15 years 6 months ago
ChIPpeakAnno: a Bioconductor package to annotate ChIP-seq and ChIP-chip data
Background: Chromatin immunoprecipitation (ChIP) followed by high-throughput sequencing (ChIP-seq) or ChIP followed by genome tiling array analysis (ChIP-chip) have become standar...
Lihua J. Zhu, Claude Gazin, Nathan D. Lawson, Herv...
SPAA
2009
ACM
16 years 7 months ago
Dynamic external hashing: the limit of buffering
Hash tables are one of the most fundamental data structures in computer science, in both theory and practice. They are especially useful in external memory, where their query perf...
Zhewei Wei, Ke Yi, Qin Zhang
KDD
2009
ACM
204views Data Mining» more  KDD 2009»
16 years 7 months ago
Improving classification accuracy using automatically extracted training data
Classification is a core task in knowledge discovery and data mining, and there has been substantial research effort in developing sophisticated classification models. In a parall...
Ariel Fuxman, Anitha Kannan, Andrew B. Goldberg, R...
STOC
2005
ACM
147views Algorithms» more  STOC 2005»
16 years 6 months ago
Simulating independence: new constructions of condensers, ramsey graphs, dispersers, and extractors
We present new explicit constructions of deterministic randomness extractors, dispersers and related objects. We say that a distribution X on binary strings of length n is a -sour...
Boaz Barak, Guy Kindler, Ronen Shaltiel, Benny Sud...
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