From: AAAI Technical Report S-9 - . Compilation copyright © 199
... ¯ Howcan contextual information be learned by AI programs, and how can existing contextual information be updated from experience? ¯ What general principles can be developed based on the use of context and contextual knowledgeto solve particular problems in an application? * Can we arrive at a commo ...
... ¯ Howcan contextual information be learned by AI programs, and how can existing contextual information be updated from experience? ¯ What general principles can be developed based on the use of context and contextual knowledgeto solve particular problems in an application? * Can we arrive at a commo ...
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... • Inductive Learning Hypothesis: Any hypothesis found to approximate the target function well over a sufficiently large set of training examples will also approximate the target function well over any other unobserved examples. • Assumptions of Inductive Learning: – The training sample represents th ...
... • Inductive Learning Hypothesis: Any hypothesis found to approximate the target function well over a sufficiently large set of training examples will also approximate the target function well over any other unobserved examples. • Assumptions of Inductive Learning: – The training sample represents th ...
Machine Learning: Symbol
... Dropping conditions from a conjunctive expression Adding a disjunct to an expression Replacing a concept with one of its parent concepts CSC411 ...
... Dropping conditions from a conjunctive expression Adding a disjunct to an expression Replacing a concept with one of its parent concepts CSC411 ...
Impact of attribute selection on the accuracy of
... Wrapper attribute selection uses a target learning algorithm to estimate the worth of attribute subsets. Crossvalidation is used to provide an estimate for the accuracy of a classifier on novel data when using only the attributes in a given subset. Wrappers generally give better results than filters ...
... Wrapper attribute selection uses a target learning algorithm to estimate the worth of attribute subsets. Crossvalidation is used to provide an estimate for the accuracy of a classifier on novel data when using only the attributes in a given subset. Wrappers generally give better results than filters ...
Robotics Presentation
... Why do we need it then? In principle, we can compute everything we need using just the domain theory In practice, however, this might not work. Consider chess: Does knowing all the rules make you a perfect player? So EBL reformulates existing knowledge into a more operational form which might be muc ...
... Why do we need it then? In principle, we can compute everything we need using just the domain theory In practice, however, this might not work. Consider chess: Does knowing all the rules make you a perfect player? So EBL reformulates existing knowledge into a more operational form which might be muc ...
An Ontology-Based Symbol Grounding System for Human
... ontology includes terms for entities that range from the general (e.g., PhysicalEntity) to specific (Pasta). Our ontology also has terms for particular products that are known objects recognizable by the vision system. These are described in the ontology itself using product information (name, dimen ...
... ontology includes terms for entities that range from the general (e.g., PhysicalEntity) to specific (Pasta). Our ontology also has terms for particular products that are known objects recognizable by the vision system. These are described in the ontology itself using product information (name, dimen ...
ml_3_2010 - Yilmaz Kilicaslan
... The idea is to pick the attribute that goes as far as possible toward providing an exact classification of the examples. A perfect attribute divides the examples into sets that are all positive or all negative. The Patrons attribute is not perfect, but it is fairly good. A really useless attribute, ...
... The idea is to pick the attribute that goes as far as possible toward providing an exact classification of the examples. A perfect attribute divides the examples into sets that are all positive or all negative. The Patrons attribute is not perfect, but it is fairly good. A really useless attribute, ...
A Knowledge Representation Tool for Autonomous Machine
... This paper presents a design and implementation of a visualization tool for knowledge representation based on concept algebra in the context of machine learning. Knowledge representation methods are analyzed in Section 2. Mappings between concepts and their relational and compositional operations in ...
... This paper presents a design and implementation of a visualization tool for knowledge representation based on concept algebra in the context of machine learning. Knowledge representation methods are analyzed in Section 2. Mappings between concepts and their relational and compositional operations in ...
Assessing Conceptual Similarity to Support Concept Mapping б г д
... concept maps are not simply externalizing pre-existing internal knowledge, but are also doing knowledge construction. Thus tools to provide relevant knowledge to consider and compare during concept mapping could facilitate not only knowledge capture, but knowledge generation. The Institute for Human ...
... concept maps are not simply externalizing pre-existing internal knowledge, but are also doing knowledge construction. Thus tools to provide relevant knowledge to consider and compare during concept mapping could facilitate not only knowledge capture, but knowledge generation. The Institute for Human ...
Posets 1 What is a poset?
... This proof does not immediately show that every infinite partial order can be extended to a total order. If we assume Zorn’s Lemma, the conclusion follows. It cannot be proved from the Zermelo–Fraenkel axioms alone (assuming their consistency), but it is strictly weaker than the Axiom of Choice, tha ...
... This proof does not immediately show that every infinite partial order can be extended to a total order. If we assume Zorn’s Lemma, the conclusion follows. It cannot be proved from the Zermelo–Fraenkel axioms alone (assuming their consistency), but it is strictly weaker than the Axiom of Choice, tha ...
RTF - University of Michigan
... To enable decentralized development of large societies of agents, agents should be able to selectively team with others based on declarative descriptions of services, rather than a priori knowledge. 1 This capability is difficult to achieve because descriptions written by different developers may be ...
... To enable decentralized development of large societies of agents, agents should be able to selectively team with others based on declarative descriptions of services, rather than a priori knowledge. 1 This capability is difficult to achieve because descriptions written by different developers may be ...
The Origins of Inductive Logic Programming
... The learning algorithm used in the program, INDUCE-1.1 is described by Dietterich (1978) and Michalski (1980). Briefly, the program begins by augmenting the data rules input by the user, by using the inference rules in the domain knowledge to produce new rules. For example, if an example includes a ...
... The learning algorithm used in the program, INDUCE-1.1 is described by Dietterich (1978) and Michalski (1980). Briefly, the program begins by augmenting the data rules input by the user, by using the inference rules in the domain knowledge to produce new rules. For example, if an example includes a ...
An Efficient Algorithm For Finding Optimal Gain-Ratio
... work is to find a multiple-split test defined on x that maximizes Quinlan's gain-ratio measure. The number of possible such multiple-split tests grows exponentially in the size of the hierarchy associated with the attribute. It is, therefore, impractical to enumerate and evaluate all these tests in ...
... work is to find a multiple-split test defined on x that maximizes Quinlan's gain-ratio measure. The number of possible such multiple-split tests grows exponentially in the size of the hierarchy associated with the attribute. It is, therefore, impractical to enumerate and evaluate all these tests in ...
Title - K.f.u.p.m. ISI
... work is to find a multiple-split test defined on x that maximizes Quinlan's gain-ratio measure. The number of possible such multiple-split tests grows exponentially in the size of the hierarchy associated with the attribute. It is, therefore, impractical to enumerate and evaluate all these tests in ...
... work is to find a multiple-split test defined on x that maximizes Quinlan's gain-ratio measure. The number of possible such multiple-split tests grows exponentially in the size of the hierarchy associated with the attribute. It is, therefore, impractical to enumerate and evaluate all these tests in ...
A Relational Representation for Procedural Task Knowledge
... schema representing a ball will have associated attributes such as “color,” “size,” and “velocity.” Motor schemata provide means of representing actions, such as throw, and can be characterized by state variables such as “degree of readiness” or “activity level.” Motor and perceptual schemata can be ...
... schema representing a ball will have associated attributes such as “color,” “size,” and “velocity.” Motor schemata provide means of representing actions, such as throw, and can be characterized by state variables such as “degree of readiness” or “activity level.” Motor and perceptual schemata can be ...
Semantic Memory for Avatars in Cyberspace
... Whole word definitions are stored in SM linked to concepts. A set of most characteristic words from definitions of a given concept. For each concept definition, one set of words for each source dictionary is used, replaced with synset words, subset common to all 3 mapped back to synsets – these are ...
... Whole word definitions are stored in SM linked to concepts. A set of most characteristic words from definitions of a given concept. For each concept definition, one set of words for each source dictionary is used, replaced with synset words, subset common to all 3 mapped back to synsets – these are ...
Semantic Memory for Avatars in Cyberspace
... Whole word definitions are stored in SM linked to concepts. A set of most characteristic words from definitions of a given concept. For each concept definition, one set of words for each source dictionary is used, replaced with synset words, subset common to all 3 mapped back to synsets – these are ...
... Whole word definitions are stored in SM linked to concepts. A set of most characteristic words from definitions of a given concept. For each concept definition, one set of words for each source dictionary is used, replaced with synset words, subset common to all 3 mapped back to synsets – these are ...
Categories - Widodo.com
... • A category has a set of properties that is common to all its members. • Categories are formally represented in logic as predicates, but we will also regard categories as a special kind of objects. • We then actually introduce a restricted form of second order logic, since the the terms that occur ...
... • A category has a set of properties that is common to all its members. • Categories are formally represented in logic as predicates, but we will also regard categories as a special kind of objects. • We then actually introduce a restricted form of second order logic, since the the terms that occur ...
Attribute Selection in Software Engineering Datasets for Detecting
... Abstract Decision making has been traditionally based on managers experience. At present, there is a number of software engineering (SE) repositories, and furthermore, automated data collection tools allow managers to collect large amounts of information, not without associated problems. On the one ...
... Abstract Decision making has been traditionally based on managers experience. At present, there is a number of software engineering (SE) repositories, and furthermore, automated data collection tools allow managers to collect large amounts of information, not without associated problems. On the one ...
Clustering Approach to Generalized Pattern Identification Based on Multi-instanced Objects with DARA
... distance measured between instances to differentiate two objects and may not generate good clustering results, which leads to less meaningful clustering results. RDBC approach is also not able to generate interpretable rules. In our approach to clustering in a multi-relational environment, we consid ...
... distance measured between instances to differentiate two objects and may not generate good clustering results, which leads to less meaningful clustering results. RDBC approach is also not able to generate interpretable rules. In our approach to clustering in a multi-relational environment, we consid ...
Let the System Learn a Game: How Can FCA Optimize a Cognitive Memory Structure
... DBMS (an open source system called Neo4j), and exploited. It works quite well in most of the cases. However, observation has shown the following liabilities, that were transformed into requirements for an FCA modeling: – The abstraction level is quite low, and still too close to the operational requ ...
... DBMS (an open source system called Neo4j), and exploited. It works quite well in most of the cases. However, observation has shown the following liabilities, that were transformed into requirements for an FCA modeling: – The abstraction level is quite low, and still too close to the operational requ ...
Cognition - Castle Wood School
... The Cognitive Programme of Learning begins with learning to think and problem solve. As children develop their thinking and problem solving they can begin to develop their basic understanding of patterns and numbers (mathematics) and how the world works (Science and Technology). As this stage is des ...
... The Cognitive Programme of Learning begins with learning to think and problem solve. As children develop their thinking and problem solving they can begin to develop their basic understanding of patterns and numbers (mathematics) and how the world works (Science and Technology). As this stage is des ...
ATOMS IN THE LATTICE OF QUASI-UNIFORMITIES 1. Introduction
... The theory of uniformity space was first introduced by Weil in 1937 to expand metric spaces. Indeed the uniform spaces are topological spaces that equipped with a structure in order to study some uniform properties like uniform countinous, uniform convergent, complementry in them. After Weil many st ...
... The theory of uniformity space was first introduced by Weil in 1937 to expand metric spaces. Indeed the uniform spaces are topological spaces that equipped with a structure in order to study some uniform properties like uniform countinous, uniform convergent, complementry in them. After Weil many st ...