Machine Learning Methods for Commonsense Reasoning Processes: Interactive Models - Xenia Naidenova
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The reduction of machine learning algorithms to commonsense reasoning processes is now possible due to the reformulation of machine learning problems as searching the best approximation of a given classification on a given set of examples. Machine Learning Methods for Commonsense Reasoning Processes: Interactive Models provides a unique view on classification as a key to human commonsense reasoning and tran ... Visas aprašymas
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The reduction of machine learning algorithms to commonsense reasoning processes is now possible due to the reformulation of machine learning problems as searching the best approximation of a given classification on a given set of examples. Machine Learning Methods for Commonsense Reasoning Processes: Interactive Models provides a unique view on classification as a key to human commonsense reasoning and transforms traditional considerations of data and knowledge communications. Containing leading research evolved from international investigations, this book presents an effective classification of logical rules used in the modeling of commonsense reasoning.
Daugiau informacijos
| Autorius | Xenia Naidenova |
|---|---|
| Leidėjas | Information Science Reference |
| Išleidimo metai | 2011 |
| Viršelio tipas | Kieti viršeliai |
| EAN | 9781605668109 |