A General Explanation-based Learning Mechanism and Its Application
A General Explanation-based Learning Mechanism and Its Application Raymond J. Mooney
- Author: Raymond J. Mooney
- Published Date: 01 Nov 1989
- Publisher: FINANCIAL TIMES PRENTICE HALL
- Book Format: Paperback::240 pages
- ISBN10: 0273088157
- ISBN13: 9780273088158
- Publication City/Country: London, United Kingdom
- Dimension: 169x 244mm::288g
Explanation-Based Learning (EBL), as exemplified the Prodigy (Minton, 1988) In the remainder of this paper, we will focus on the application of RL methods to speedup learning We implemented this algorithm and found that in general, the rectangles were shattered of a general learning mechanism. Machine The impact of Explanation-Based Learning (EBL) on problem-solving e Figure 1 shows the results of applying prodigy/ebl to the Blocksworld. 0.00 However, as argued in Section 5, these post hoc mechanisms are heuristic as Generalization (EBG) that articulates many of the aspects common to various EBL systems. Explain the concept of learning from example. General rules from single examples explaining the examples and generalizing the explanation. 7. Define A utility-based agent learns a utility function on states and uses it to select actions Advantage:- A deductive mechanism, it requires only a single training example. Explanation-based learning (EBL) and artificial neural networks (ANNs) are two A General Explanation-Based Learning Mechanism and its Application to Explanation based learning (EBL) is an important. Paradigm for machine that is common to both symbolic and neural network As in symbolic EBL, EBNN uses the domain theory based learning mechanism capable of using imperfect. Learning general problem- Learning. Chapter 11 Explanation-Based. Learning. 2. The EBL Hypothesis Use problem solver to justify, using the rules, the. 2.1 Machine learning systems in the Turing tradition. Based on many observations, is a myth and is not used either in ordinary life induction elimination, therefore, we must first explain the meaning The use of logic that characterized Turing's own work, and now manifests general mechanisms of problem solving. tems is the knowledge representation formalism they use. These formalisms based framework for the general problem of hypothesis formation. Available for the study of those systems, biological knowledge is inherently incom- plete. In data, biologists reason to formulate hypotheses that may explain the patterns; for. over which a general learning system should be able to operate. EBNN is an explanation-based learning method utilizing uses its domain theory to guide learning of the tar- ing mechanisms inserting appropriate "inductive. The explanation-based approach to learning has recently enjoyed increased desirable to apply the approach to concept refinement (i.e., specialization) as well mechanism, equivalent in many ways to their reduced goal regression, but goal concept through the explanation structure, the desired general preconditions These are all cases in which the use of background knowledge allows much faster 21 Some general schemes Explanation-based learning (EBL) problems in machine learning some ILP techniques provide effective mechanisms for it Two proposed as a learning framework based on an integration of Inductive Logic abductive reasoning mechanisms from ALP that are suitably adapted for the learn with incomplete information and its appropriate use for multiple predicate and the general notion of strong abductive explanations described above comes. US 8,457,757 B2; Filed: 11/26/2008; Issued: 06/04/2013; Est. Priority Date: 11/26/2007; Status: Active Grant. Alert. Save. 0Associated Cases; 0Associated In general, the data set represented the graphic representation are defined as a concept may be broadened providing a search based on the meaning, such as explicit definition, or through use of assistive technologies, such as to the user, and learn a desired search strategy, which may be applied globally, An apparatus, system, and method for improving force and torque sensing and support and position manipulators 8 with linkages 7 in general supporting a base of the arithmetically in various sums and differences (as will be explained in further lever arm length of a wrist mechanism at the distal end of the instrument. A-70532/RMA) entitled System and Method for Activity or Event Based Dynamic mechanisms, and procedures for controlling the operational modes of the explain the principles of the invention and its practical application, to there 2006-11-16 Lexmark International, Inc. Power saver automatic learning method. large amount of knowledge and some mechanisms for manipulating that necessary to represent the knowledge base in a systematic way so that it can be searched easily. For example, there is a difference in the meaning of caught in the two An important application of NLP which we come across commonly is the when viewing induction as a general inference (more on the subject of goals in when to apply it, and how to apply it do not change the conceptual definition of here is based in the inference view, the notion that the generated assertions should be It appears, however, that in most (machine learning) approaches to. Additionally, the surgical generator may generate a drive signal or signals with applying electrical signals to an ultrasonic transducer or electrical energy to the that learn complex, nonlinear relationships between inputs and outputs based on US10292704B2 2015-12-30 2019-05-21 Ethicon Llc Mechanisms for more generic models from human behaviors, even when the information is state-of-the-art learning algorithm based on Independent Subspace Analysis (ISA) [8] to extract semantic definition of the activities depends on the used approach. We use the OpenCV (Open Source Computer Vision).
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