Q. 341) Key is referred to
(A)
Non-trivial extraction of implicit previously unknown and potentially useful information from dat(A)
(B)
Set of columns in a database table that can be used to identify each record within this table uniquely
(C)
collection of interesting and useful patterns in a database
(D)
none of these
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Option (B) -
Set of columns in a database table that can be used to identify each record within this table uniquely
Q. 342) Inductive learning is
(A)
Machine-learning involving different techniques
(B)
The learning algorithmic analyzes the examples on a systematic basis and makes incremental adjustments to the theory that is learned
(C)
Learning by generalizing from examples
(D)
None of these
Q. 343) Integrated is
(A)
The amount of information with in data as opposed to the amount of redundancy or noise
(B)
One of the defining aspects of a data warehouse
(C)
Restriction that requires data in one column of a database table to the a sub- set of another-column.
(D)
None of these
Q. 344) Knowledge engineering is
(A)
The process of finding the right formal representation of a certain body of knowledge in order to represent it in a knowledge-based system
(B)
It automatically maps an external signal space into a system’s internal representational space. They are useful in the performance of classification tasks.
(C)
A process where an individual learns how to carry out a certain task when making a transition from a situation in which the task cannot be carried out to a situation in which the same task under the same circumstances can be carried out.
(D)
None of these
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Option (A) -
The process of finding the right formal representation of a certain body of knowledge in order to represent it in a knowledge-based system
Q. 345) Kohonen self-organizing map referred to
(A)
The process of finding the right formal representation of a certain body of knowledge in order to represent it in a knowledge-based system
(B)
It automatically maps an external signal space into a system’s internal representational space. They are useful in the performance of classification tasks
(C)
A process where an individual learns how to carry out a certain task when making a transition from a situation in which the task cannot be carried out to a situation in which the same task under the same circumstances can be carried out.
(D)
None of these
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Option (B) -
It automatically maps an external signal space into a system’s internal representational space. They are useful in the performance of classification tasks
Q. 346) Learning is
(A)
The process of finding the right formal representation of a certain body of knowledge in order to represent it in a knowledge-based system
(B)
It automatically maps an external signal space into a system’s internal representational space. They are useful in the performance of classification tasks.
(C)
A process where an individual learns how to carry out a certain task when making a transition from a situation in which the task cannot be carried out to a situation in which the same task under the same circumstances can be carried out.
(D)
None of these
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Option (C) -
A process where an individual learns how to carry out a certain task when making a transition from a situation in which the task cannot be carried out to a situation in which the same task under the same circumstances can be carried out.
Q. 347) Learning algorithm referrers to
(A)
An algorithm that can learn
(B)
A sub-discipline of computer science that deals with the design and implementation of learning algorithms.
(C)
A machine-learning approach that abstracts from the actual strategy of an individual algorithm and can therefore be applied to any other form of machine learning.
(D)
None of these
Q. 348) Meta-learning is
(A)
An algorithm that can learn
(B)
A sub-discipline of computer science that deals with the design and implementation of learning algorithms.
(C)
A machine-learning approach that abstracts from the actual strategy of an individual algorithm and can therefore be applied to any other form of machine learning.
(D)
None of these
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Option (C) -
A machine-learning approach that abstracts from the actual strategy of an individual algorithm and can therefore be applied to any other form of machine learning.
Q. 349) Machine learning is
(A)
An algorithm that can learn
(B)
A sub-discipline of computer science that deals with the design and implementation of learning algorithms.
(C)
An approach that abstracts from the actual strategy of an individual algorithm and can therefore be applied to any other form of machine learning.
(D)
None of these
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Option (B) -
A sub-discipline of computer science that deals with the design and implementation of learning algorithms.
Q. 350) Inductive logic programming is
(A)
A class of learning algorithms that try to derive a Prolog program from examples*
(B)
A table with n independent attributes can be seen as an n- dimensional space.
(C)
A prediction made using an extremely simple method, such as always predicting the same output.
(D)
None of these
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Option (A) -
A class of learning algorithms that try to derive a Prolog program from examples*
