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CSB
2005
IEEE
189views Bioinformatics» more  CSB 2005»
14 years 10 days ago
Learning Yeast Gene Functions from Heterogeneous Sources of Data Using Hybrid Weighted Bayesian Networks
We developed a machine learning system for determining gene functions from heterogeneous sources of data sets using a Weighted Naive Bayesian Network (WNB). The knowledge of gene ...
Xutao Deng, Huimin Geng, Hesham H. Ali
LLL
1999
Springer
13 years 11 months ago
Learning to Lemmatise Slovene Words
Abstract. Automatic lemmatisation is a core application for many language processing tasks. In inflectionally rich languages, such as Slovene, assigning the correct lemma to each ...
Saso Dzeroski, Tomaz Erjavec
JAIR
2008
118views more  JAIR 2008»
13 years 6 months ago
On the Use of Automatically Acquired Examples for All-Nouns Word Sense Disambiguation
This article focuses on Word Sense Disambiguation (WSD), which is a Natural Language Processing task that is thought to be important for many Language Technology applications, suc...
David Martínez, Oier Lopez de Lacalle, Enek...
BMCBI
2007
159views more  BMCBI 2007»
13 years 6 months ago
Computational genes: a tool for molecular diagnosis and therapy of aberrant mutational phenotype
Background: A finite state machine manipulating information-carrying DNA strands can be used to perform autonomous molecular-scale computations at the cellular level. Results: We ...
Israel Mark Martínez-Pérez, Gong Zha...
ICRA
2005
IEEE
146views Robotics» more  ICRA 2005»
14 years 9 days ago
Probabilistic Gaze Imitation and Saliency Learning in a Robotic Head
— Imitation is a powerful mechanism for transferring knowledge from an instructor to a na¨ıve observer, one that is deeply contingent on a state of shared attention between the...
Aaron P. Shon, David B. Grimes, Chris Baker, Matth...