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ICASSP
2010
IEEE
13 years 11 months ago
A minimax approach to Bayesian estimation with partial knowledge of the observation model
We address the problem of Bayesian estimation where the statistical relation between the signal and measurements is only partially known. We propose modeling partial Baysian knowl...
Tomer Michaeli, Yonina C. Eldar
GECCO
2010
Springer
189views Optimization» more  GECCO 2010»
14 years 3 months ago
Knowledge mining with genetic programming methods for variable selection in flavor design
This paper presents a novel approach for knowledge mining from a sparse and repeated measures dataset. Genetic programming based symbolic regression is employed to generate multip...
Katya Vladislavleva, Kalyan Veeramachaneni, Matt B...
ANLP
1994
98views more  ANLP 1994»
14 years 3 days ago
Combination of Symbolic and Statistical Approaches for Grammatical Knowledge Acquisition
The framework we adopted for customizing linguistic knowledge to individual application domains is an integration of symbolic and statistical approaches. In order to acquire domai...
Masaki Kiyono, Jun-ichi Tsujii
SAC
2008
ACM
13 years 10 months ago
Proposing metrics of difficulty of domain knowledge using usecase diagrams
In a system development, the knowledge of a target business is very important factor for the success of a development. The needed part of such knowledge is different for each stak...
Akira Osada, Daigo Ozawa, Naoyuki Kitazawa, Haruhi...
COLING
1996
14 years 3 days ago
Bilingual Knowledge Acquisition from Korean-English Parallel Corpus Using Alignment
This paper snggests a method to align Korean-English parallel corpus. '1?he structural dissimilarity between Korean and Indo-European languages requires more flexible measure...
Jung H. Shin, Young S. Han, Key-Sun Choi