Detailed Information on Publication Record
2005
Learning genic interactions without expert domain knowledge: Comparison of different ILP algorithms.
POPELÍNSKÝ, Lubomír and Jan BLAŤÁKBasic information
Original name
Learning genic interactions without expert domain knowledge: Comparison of different ILP algorithms.
Name in Czech
Učení genových interakcí bez expertní znalosti: Porovnání různých ILP algoritmů
Authors
POPELÍNSKÝ, Lubomír (203 Czech Republic, guarantor) and Jan BLAŤÁK (203 Czech Republic)
Edition
Bonn, Proceedings of ICML05 workshop on Learning Language in Logic (LLL05), p. 21-30, 10 pp. 2005
Publisher
Fraunhofer Institute
Other information
Language
English
Type of outcome
Stať ve sborníku
Field of Study
10201 Computer sciences, information science, bioinformatics
Country of publisher
Germany
Confidentiality degree
není předmětem státního či obchodního tajemství
RIV identification code
RIV/00216224:14330/05:00014242
Organization unit
Faculty of Informatics
Keywords in English
machine learning; genic interactions; ILP
Změněno: 27/4/2006 11:55, doc. RNDr. Lubomír Popelínský, Ph.D.
V originále
A novel two-step method is proposed in which rules for processing simple examples (sentences that contain a single pair of terms from the dictionary) are learned separately. % We also describe an extension of domain knowledge when no domain expert is available, % We show that this two-step method performs better on the test set than other learning algorithms.
In Czech
A novel two-step method is proposed in which rules for processing simple examples (sentences that contain a single pair of terms from the dictionary) are learned separately. % We also describe an extension of domain knowledge when no domain expert is available, % We show that this two-step method performs better on the test set than other learning algorithms.
Links
| MSM0021622418, plan (intention) |
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