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» Learning classifiers from only positive and unlabeled data
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VLDB
2007
ACM
118views Database» more  VLDB 2007»
14 years 7 months ago
Inferring XML Schema Definitions from XML Data
Although the presence of a schema enables many optimizations for operations on XML documents, recent studies have shown that many XML documents in practice either do not refer to ...
Geert Jan Bex, Frank Neven, Stijn Vansummeren
PR
2011
12 years 10 months ago
A novel multi-view learning developed from single-view patterns
The existing Multi-View Learning (MVL) learns how to process patterns with multiple information sources. In generalization this MVL is proven to have a significant advantage over...
Zhe Wang, Songcan Chen, Daqi Gao
PAMI
1998
87views more  PAMI 1998»
13 years 7 months ago
Learning Local Languages and Their Application to DNA Sequence Analysis
—This paper concerns an efficient algorithm for learning in the limit a special type of regular languages called strictly locally testable languages from positive data, and its a...
Takashi Yokomori, Satoshi Kobayashi
DATAMINE
2002
169views more  DATAMINE 2002»
13 years 7 months ago
Advances in Instance Selection for Instance-Based Learning Algorithms
The basic nearest neighbour classifier suffers from the indiscriminate storage of all presented training instances. With a large database of instances classification response time ...
Henry Brighton, Chris Mellish
ALT
1998
Springer
13 years 11 months ago
Synthesizing Learners Tolerating Computable Noisy Data
An index for an r.e. class of languages (by definition) generates a sequence of grammars defining the class. An index for an indexed family of recursive languages (by definition) ...
John Case, Sanjay Jain