Machine intelligence and related topics
Machine intelligence and related topics
Machine learning: applications in expert systems and information retrieval
Machine learning: applications in expert systems and information retrieval
Knowledge base organization in expert systems
Processing and Management of Uncertainty in Knowledge-Based Systems on Uncertainty in knowledge-based systems. International Conference on Information
Automated Concept Acquisition in Noisy Environments
IEEE Transactions on Pattern Analysis and Machine Intelligence
Proceedings of the sixth conference on Artificial intelligence applications
Rigel: An Inductive Learning System
Machine Learning
Training knowledge-based neural networks to recognize genes in DNA sequences
NIPS-3 Proceedings of the 1990 conference on Advances in neural information processing systems 3
Machine learning: an integrated framework and its applications
Machine learning: an integrated framework and its applications
Learning structured concepts using genetic algorithms
ML92 Proceedings of the ninth international workshop on Machine learning
C4.5: programs for machine learning
C4.5: programs for machine learning
Automatic construction of second generation diagnostic expert systems
International Journal of Expert Systems
Multistrategy Learning and Theory Revision
Machine Learning - Special issue on multistrategy learning
Neural networks: applications in industry, business and science
Communications of the ACM
Consultant-2: pre- and post-processing of machine learning applications
International Journal of Human-Computer Studies
Machine learning, neural and statistical classification
Machine learning, neural and statistical classification
Applications of machine learning and rule induction
Communications of the ACM
Applications of inductive logic programming
Communications of the ACM
Machine Learning
Technology transfer: so much research, so few good products
Communications of the ACM
Technology transfer from university to industry
Communications of the ACM
The KDD process for extracting useful knowledge from volumes of data
Communications of the ACM
Communications of the ACM
Exploring the Power of Genetic Search in Learning Symbolic Classifiers
IEEE Transactions on Pattern Analysis and Machine Intelligence
Integrating Multiple Learning Strategies in First Order Logics
Machine Learning - Special issue on multistrategy learning
Overcoming Process Delays with Decision Tree Induction
IEEE Expert: Intelligent Systems and Their Applications
Data Mining and Knowledge Discovery: Making Sense Out of Data
IEEE Expert: Intelligent Systems and Their Applications
ENIGMA: A System That Learns Diagnostic Knowledge
IEEE Transactions on Knowledge and Data Engineering
FONN: Combining First Order Logic with Connectionist Learning
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
Feature Engineering and Classifier Selection: A Case Study in Venusian Volcano Detection
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
Finding Relevant Biomolecular Features
Proceedings of the 1st International Conference on Intelligent Systems for Molecular Biology
Inferring Gene Structures in Genomic Sequences Using Pattern Recognition and Expressed Sequence Tags
Proceedings of the 5th International Conference on Intelligent Systems for Molecular Biology
A Coevolutionary Approach to Concept Learning
ISMIS '97 Proceedings of the 10th International Symposium on Foundations of Intelligent Systems
Data Mining and Knowledge Discovery: The Third Generation (Extended Abstract)
ISMIS '97 Proceedings of the 10th International Symposium on Foundations of Intelligent Systems
Option Decision Trees with Majority Votes
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
Data Mining using MLC++, A Machine Learning Library in C++
ICTAI '96 Proceedings of the 8th International Conference on Tools with Artificial Intelligence
Search-intensive concept induction
Evolutionary Computation
An analysis of the “universal suffrage” selection operator
Evolutionary Computation
Guest Editors‘ Introduction: On Applied Research in MachineLearning
Machine Learning - Special issue on applications of machine learning and the knowledge discovery process
Robust Classification for Imprecise Environments
Machine Learning
Exploiting Classifier Combination for Early Melanoma Diagnosis Support
ECML '00 Proceedings of the 11th European Conference on Machine Learning
Task and method selection: selection of tasks
Handbook of data mining and knowledge discovery
Applications of machine learning: matching problems to tasks and methods
The Knowledge Engineering Review
An introduction to ROC analysis
Pattern Recognition Letters - Special issue: ROC analysis in pattern recognition
Machine learning: a review of classification and combining techniques
Artificial Intelligence Review
Towards UCI+: A mindful repository design
Information Sciences: an International Journal
Benchmarking local classification methods
Computational Statistics
Machine learning for science and society
Machine Learning
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In this paper we define and characterize the process of developinga “real-world” Machine Learning application, with itsdifficulties and relevant issues, distinguishing it from the popularpractice of exploiting ready-to-use data sets. To this aim, we analyze andsummarize the lessons learned from applying Machine Learning techniques to avariety of problems. We believe that these lessons, though primarily basedon our personal experience, can be generalized to a wider range ofsituations and are supported by the reported experiences of otherresearchers.