Sentence examples for artificial knowledge from inspiring English sources

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We demonstrate that removing the empty probesets from the invariant set can provide Stage II data which appears to be adequately re-centered, a result which is dependent upon artificial knowledge of the true invariant set.

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The measure of sentence similarity is useful in various research fields, such as artificial intelligence, knowledge management, and information retrieval.

Yet for all the jubilation and flag-waving, the moment was artificial: That knowledge of the spacecraft's position was theoretical.

In the construction of environmental information systems during the input phase, the use of logical and computational models derived by computer science (defined in artificial intelligence "knowledge representation") can be very useful.

Even though it is realizable to segment the PolSAR data into seven clusters in a general way, the manual quadrangles contain the artificial prior knowledge which is assumed by people.

In artificial intelligence, knowledge representation is the study of how the beliefs, intentions, and value judgments of an intelligent agent can be expressed in a transparent, symbolic notation suitable for automated reasoning.

For example, we will not assess the use of probability as a formal representation of belief in philosophy (Bayesian epistemology) or artificial intelligence (knowledge representation), and its advantages and disadvantages with respect to alternative representations, such as generalized probability theory (for quantum theory) and fuzzy logic.

Our intent was, in reviewing non-healthcare DS, to take a broad view that would include applications based on artificial intelligence, knowledge management, neural networks, collaborative decision support, expert systems, and other methods.

Not only is the Siri team within Apple extremely capable, but Siri is learning every day and adding streams and streams of user data to her artificial-intelligence knowledge base.

Another aspect of these computational paradigms that have been lumped under the broad subject category of soft computing, is the domain of artificial intelligence, knowledge-based expert systems, and machine learning.

The research has been conducted by artificial and natural knowledge specialists at the University of Illinois at Chicago.

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