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CORR
2006
Springer
99views Education» more  CORR 2006»
13 years 7 months ago
Logical settings for concept learning from incomplete examples in First Order Logic
We investigate here concept learning from incomplete examples. Our first purpose is to discuss to what extent logical learning settings have to be modified in order to cope with da...
Dominique Bouthinon, Henry Soldano, Véroniq...
NLDB
2007
Springer
14 years 1 months ago
Incomplete and Fuzzy Conceptual Graphs to Automatically Index Medical Reports
Most of Information Retrieval (IR) systems are still based on bag of word paradigm. This is a strong limitation if one needs high precision answers. For example, in restricted doma...
Loïc Maisonnasse, Jean-Pierre Chevallet, Cath...
ISIPTA
2005
IEEE
161views Mathematics» more  ISIPTA 2005»
14 years 1 months ago
Decision making under incomplete data using the imprecise Dirichlet model
The paper presents an efficient solution to decision problems where direct partial information on the distribution of the states of nature is available, either by observations of ...
Lev V. Utkin, Thomas Augustin
PODS
1995
ACM
139views Database» more  PODS 1995»
13 years 11 months ago
Normalizing Incomplete Databases
Databases are often incomplete because of the presence of disjunctive information, due to con icts, partial knowledge and other reasons. Queries against such databases often ask q...
Leonid Libkin
CLEF
2010
Springer
13 years 4 months ago
Examining the Robustness of Evaluation Metrics for Patent Retrieval with Incomplete Relevance Judgements
Recent years have seen a growing interest in research into patent retrieval. One of the key issues in conducting information retrieval (IR) research is meaningful evaluation of the...
Walid Magdy, Gareth J. F. Jones