Algorithmic Learning Theory / Nejlevnější knihy
Algorithmic Learning Theory

Kód: 05274357

Algorithmic Learning Theory

Autor Klaus P. Jantke, Shigenobu Kobayashi, Etsuji Tomita, Takashi Yokomori

This volume contains all the papers that were presented atthe Fourth Workshop on Algorithmic Learning Theory, held inTokyo in November 1993. In addition to 3 invited papers, 29 papers were selected from 47 submitted extended abstr ... celý popis

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Anotace knihy

This volume contains all the papers that were presented atthe Fourth Workshop on Algorithmic Learning Theory, held inTokyo in November 1993. In addition to 3 invited papers, 29 papers were selected from 47 submitted extended abstracts.The workshop was the fourth in a series of ALT workshops, whose focus is on theories of machine learning and the application of such theories to real-world learning problems. The ALT workshops have been held annually since1990, sponsored by the Japanese Society for Artificial Intelligence. The volume is organized into parts oninductive logic and inference, inductive inference, approximate learning, query learning, explanation-based learning, and new learning paradigms. This volume contains all the papers that were presented at§the Fourth Workshop on Algorithmic Learning Theory, held in§Tokyo in November 1993. In addition to 3 invited papers, 29§papers were selected from 47 submitted extended abstracts.§The workshop was the fourth in a series of ALT workshops,§whose focus is on theories of machine learning and the§application of such theories to real-world learning§problems. The ALT workshops have been held annually since§1990, sponsored by the Japanese Society for Artificial§Intelligence. The volume is organized into parts on§inductive logic and inference, inductive inference,§approximate learning, query learning, explanation-based§learning, and new learning paradigms.

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Zařazení knihy Knihy v angličtině Computing & information technology Computer science Artificial intelligence

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