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RE
2006
Springer
13 years 4 months ago
Using Domain Ontology as Domain Knowledge for Requirements Elicitation
Domain knowledge is one of crucial factors to get a great success in requirements elicitation of high quality, and only domain experts, not requirements analysts, have it. We prop...
Haruhiko Kaiya, Motoshi Saeki
NN
2008
Springer
152views Neural Networks» more  NN 2008»
13 years 4 months ago
Analysis of the IJCNN 2007 agnostic learning vs. prior knowledge challenge
We organized a challenge for IJCNN 2007 to assess the added value of prior domain knowledge in machine learning. Most commercial data mining programs accept data pre-formatted in ...
Isabelle Guyon, Amir Saffari, Gideon Dror, Gavin C...
IS
2006
13 years 4 months ago
Artemis: Deploying semantically enriched Web services in the healthcare domain
An essential element in defining the semantic of Web services is the domain knowledge. Medical informatics is one of the few domains to have considerable domain knowledge exposed ...
Asuman Dogac, Gokce Laleci, Serkan Kirbas, Yildira...
CORR
2010
Springer
104views Education» more  CORR 2010»
13 years 4 months ago
Empirical learning aided by weak domain knowledge in the form of feature importance
Standard hybrid learners that use domain knowledge require stronger knowledge that is hard and expensive to acquire. However, weaker domain knowledge can benefit from prior knowle...
Ridwan Al Iqbal
FSKD
2008
Springer
136views Fuzzy Logic» more  FSKD 2008»
13 years 5 months ago
k-Anonymity via Clustering Domain Knowledge for Privacy Preservation
Preservation of privacy in micro-data release is a challenging task in data mining. The k-anonymity method has attracted much attention of researchers. Quasiidentifier is a key co...
Taiyong Li, Changjie Tang, Jiang Wu, Qian Luo, She...
AIPS
1996
13 years 5 months ago
Planning Experiments: Resolving Interactions between Two Planning Spaces
Learning from experimentation allows a system to acquire planning domain knowledge by correcting its knowledge when an action execution fails. Experiments are designed and planned...
Yolanda Gil
ICMLA
2003
13 years 5 months ago
The Consolidation of Neural Network Task Knowledge
— Fundamental to the problem of lifelong machine learning is how to consolidate the knowledge of a learned task within a long-term memory structure (domain knowledge) without the...
Daniel L. Silver, Peter McCracken
FLAIRS
2006
13 years 5 months ago
Resolving Noun Compounds with Multi-Use Domain Knowledge
In this paper we describe a system for semantic interpretation of noun compounds that relies on world and domain knowledge from a knowledge base. This architecture combines domain...
Alicia Tribble, Scott E. Fahlman
FLAIRS
2004
13 years 5 months ago
Case-Based Bayesian Network Classifiers
We propose a new approach for learning Bayesian classifiers from data. Although it relies on traditional Bayesian network (BN) learning algorithms, the effectiveness of our approa...
Eugene Santos, Ahmed Huessin
CLA
2006
13 years 5 months ago
First Elements on Knowledge Discovery Guided by Domain Knowledge (KDDK)
In this paper, we present research trends carried out in the Orpailleur team at loria, showing how knowledge discovery and knowledge processing may be combined. The knowledge disco...
Jean Lieber, Amedeo Napoli, Laszlo Szathmary, Yann...