237 search results - page 28 / 48 » Incremental Learning in Inductive Programming |
103
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ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
The paper presents a kernel for learning from ordered hypergraphs, a formalization that captures relational data as used in Inductive Logic Programming (ILP). The kernel generaliz...
GECCO
2005
Springer
15 years 3 months ago
2005
Springer
Overfitting is a fundamental problem of most machine learning techniques, including genetic programming (GP). Canary functions have been introduced in the literature as a concept ...
AAAI
1994
14 years 10 months ago
1994
or untagged treebanks. ' When trained on an untagged This paper presents a method for constructing deterministic Prolog parsers from corpora of parsed sentences. Our approach ...
110
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ILP
2007
Springer
15 years 3 months ago
2007
Springer
Statistical Relational Learning (SRL) combines the benefits of probabilistic machine learning approaches with complex, structured domains from Inductive Logic Programming (ILP). W...
72
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NLPRS
2001
Springer
15 years 1 months ago
2001
Springer
This paper proposes a new prosodic phrasing model for Chinese text-tospeech systems. First, in contrast to the commonly used CART techniques, we propose a new inductive learning a...