Searching for authors named "Dimitrios Kalles" – sorted by Relevance.
7 documents found, showing 1 through 7.
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Induction of Decision Trees in Numeric Domains Using Set-Valued Attributes
- …Conventional algorithms for decision tree induction use an attribute-value representation scheme for instances. This paper explores the empirical consequences of using set-valued attributes. This simple representational extension is shown to yield significant gains in speed and accuracy. To do so, t…
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On Verifying Game Designs and Playing Strategies using Reinforcement Learning
- …In this paper we elaborate on the application of reinforcement learning to the details of the design and the verification of a new strategy game. We deal with playability and learning issues, using a "raw state" representation. The machine's a priori knowledge about the game is restricted to the rul…
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Efficient Incremental Induction of Decision Trees
- …This paper proposes a method to improve ID5R, an incremental TDIDT algorithm. The new method evaluates the quality of attributes selected at the nodes of a decision tree and estimates a minimum number of steps for which these attributes are guaranteed such a selection. This results in reducing overh…
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Intelligent Monitoring and Maintenance of Power Plants
- …Conventional predictive maintenance involves continuous processing of real-time data from plant sensors of critical variables that are indicators of the health of the equipment. Some intelligent monitoring systems using rules elicited from maintenance personnel have being developed to infer the ca…
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Stable Decision Trees: Using Local Anarchy for Efficient Incremental Learning
- …Introduction Incremental machine learning systems aim to show an adaptive behavior by responding to changing environmental factors. A special case of a changing environment occurs when we need to revise often the target concept as new training instances arrive. The decision to drop obsolete inform…
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Controlled Flux Results in Stable Decision Trees
- …This work deals with stability in incremental induction of decision trees. Stability problems arise when an induction algorithm must revise a decision tree very often and tree oscillations between similar concepts decrease learning speed. We introduce a heuristic to tackle this problem and an algori…
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UTILNETS: A Water Mains Rehabilitation Decision Support System
- …UtilNets is a decision-support system for rehabilitation planning and optimisation of the maintenance of underground pipe networks of water utilities. The DSS performs reliability-based life predictions of the pipes and determines the consequences of maintenance and neglect over time in order to opt…
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Showing 1 through 7.
