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ESANN
2008
14 years 11 months ago
Interpretable ensembles of local models for safety-related applications
Abstract. This paper discusses a machine learning approach for binary classification problems which satisfies the specific requirements of safety-related applications. The approach...
Sebastian Nusser, Clemens Otte, Werner Hauptmann
DAC
1997
ACM
15 years 2 months ago
Sequence Compaction for Probabilistic Analysis of Finite-State Machines
- The objective of this paper is to provide an effective technique for accurate modeling of the external input sequences that affect the behavior of Finite State Machines (FSMs). T...
Diana Marculescu, Radu Marculescu, Massoud Pedram
ICML
2004
IEEE
15 years 10 months ago
Improving SVM accuracy by training on auxiliary data sources
The standard model of supervised learning assumes that training and test data are drawn from the same underlying distribution. This paper explores an application in which a second...
Pengcheng Wu, Thomas G. Dietterich
ICML
1996
IEEE
15 years 10 months ago
Learning Evaluation Functions for Large Acyclic Domains
Some of the most successful recent applications of reinforcement learning have used neural networks and the TD algorithm to learn evaluation functions. In this paper, we examine t...
Justin A. Boyan, Andrew W. Moore
SMC
2007
IEEE
125views Control Systems» more  SMC 2007»
15 years 4 months ago
Scaling with digital connection: Services innovation
—Digitization of production factors, including the knowledge for knowledge workers and consumers, opens almost infinite potential to connect persons, systems, processes, enterpri...
Cheng Hsu