The paper highlights a problem of pattern recognition with learning as a part of a wider problem of choice. It is shown that by information basis the problem can be compared with problems of formulae classification in sentence calculus and logical diagnostics. A family of algorithms is constructed that can be used for solving any of the above-mentioned problems. It is shown that an algorithm from the family can be compared with classical ones (method of resolution, etc), and, therefore, is justified at least in the algorithmic sense
Les Valiant has recently conceived a remarkable mathematical model of learnability. The originality ...
Earlier the authors have suggested a logical level description of classes which allows to reduce a ...
This paper considers the logical approach to the theoretical justification of constructing correct a...
The paper highlights a problem of pattern recognition with learning as a part of a wider problem of...
An abstract formalism is presented wherein a mathematical learning theory is explored. Numerous exam...
Deductive and inductive approaches to solving of pattern recognition problems are considered. Logic...
This paper explores the use of learning as a practical tool in problem solving. The idea that learn...
This thesis describes the architecture of learning systems which can explain their decisions through...
We investigate an aspect of the construction of logical recognition algorithms - selection of patter...
Closely related to the concept of Machine Learning, Pattern Recognition is the assignment of an outp...
Abstract—This paper examines fundamental problems underlying difficulties encountered by pattern rec...
AbstractA model of learning from positive and negative examples in concept lattices is considered. L...
This paper presents a generalized paradigm for formal learning theory, of which language leamability...
Pattern recognition systems play a role in applications as diverse as speech recognition, optical ch...
This monograph deals with mathematical constructions that are foundational in such an important area...
Les Valiant has recently conceived a remarkable mathematical model of learnability. The originality ...
Earlier the authors have suggested a logical level description of classes which allows to reduce a ...
This paper considers the logical approach to the theoretical justification of constructing correct a...
The paper highlights a problem of pattern recognition with learning as a part of a wider problem of...
An abstract formalism is presented wherein a mathematical learning theory is explored. Numerous exam...
Deductive and inductive approaches to solving of pattern recognition problems are considered. Logic...
This paper explores the use of learning as a practical tool in problem solving. The idea that learn...
This thesis describes the architecture of learning systems which can explain their decisions through...
We investigate an aspect of the construction of logical recognition algorithms - selection of patter...
Closely related to the concept of Machine Learning, Pattern Recognition is the assignment of an outp...
Abstract—This paper examines fundamental problems underlying difficulties encountered by pattern rec...
AbstractA model of learning from positive and negative examples in concept lattices is considered. L...
This paper presents a generalized paradigm for formal learning theory, of which language leamability...
Pattern recognition systems play a role in applications as diverse as speech recognition, optical ch...
This monograph deals with mathematical constructions that are foundational in such an important area...
Les Valiant has recently conceived a remarkable mathematical model of learnability. The originality ...
Earlier the authors have suggested a logical level description of classes which allows to reduce a ...
This paper considers the logical approach to the theoretical justification of constructing correct a...