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CSB
2005
IEEE
189views Bioinformatics» more  CSB 2005»
15 years 3 months 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
CLEF
2003
Springer
15 years 2 months ago
ITC-irst at CLEF 2003: Monolingual, Bilingual, and Multilingual Information Retrieval
This paper reports on the participation of ITC-irst in the Cross Language Evaluation Forum 2003; in particular, in the monolingual, bilingual, small multilingual, and spoken docum...
Nicola Bertoldi, Marcello Federico
85
Voted
RE
2005
Springer
15 years 3 months ago
Using Occurrence Properties of Defect Report Data to Improve Requirements
Defect reports generated for faults found during testing provide a rich source of information regarding problematic phrases used in requirements documents. These reports indicate ...
Kimberly S. Wasson, Kendra N. Schmid, Robyn R. Lut...
KDD
2009
ACM
198views Data Mining» more  KDD 2009»
15 years 10 months ago
Heterogeneous source consensus learning via decision propagation and negotiation
Nowadays, enormous amounts of data are continuously generated not only in massive scale, but also from different, sometimes conflicting, views. Therefore, it is important to conso...
Jing Gao, Wei Fan, Yizhou Sun, Jiawei Han
IDEAL
2010
Springer
14 years 7 months ago
An Efficient Approach to Clustering Real-Estate Listings
World Wide Web (WWW) is a vast source of information, the problem of information overload is more acute than ever. Due to noise in WWW, it is becoming hard to find usable informati...
Maciej Grzenda, Deepak Thukral