. "1124273696"^^ . . "A teoria da aprendizagem computacional \u00E9 um sub-campo da intelig\u00EAncia artificial e teoria da computa\u00E7\u00E3o que busca construir modelos formais de projeto e analise de agentes de aprendizado baseados em m\u00E1quinas de estado. Alguns modelos famosos propostos s\u00E3o o Provavelmente Aproximadamente Correto, o AIXI, M\u00E1quinas de G\u00F6del, Indu\u00E7\u00E3o Universal de Solomonoff e Identifica\u00E7\u00E3o de Linguagem no Limite. Diferente da , que busca projetar e entender ferramentas que extraem padr\u00F5es estat\u00EDsticos nos dados pelo m\u00E9todo indutivo, a teoria da aprendizagem computacional tem maior foco em entender os limites computacionais de qualquer agente inferencial, como representa\u00E7\u00F5es simb\u00F3lico num\u00E9ricas, complexidade computacional e decidibilidade. Trabalhos mais recentes no campo tem explorado o projeto de agentes que "@pt . . . . . . . . . . . . "De computationele leertheorie is een onderdeel van de theoretische informatica waarin algoritmes die gebruikt worden in het machinaal leren worden geanalyseerd."@nl . . . . "\u0422\u0435\u043E\u0440\u0438\u044F \u0432\u044B\u0447\u0438\u0441\u043B\u0438\u0442\u0435\u043B\u044C\u043D\u043E\u0433\u043E \u043E\u0431\u0443\u0447\u0435\u043D\u0438\u044F (\u0430\u043D\u0433\u043B. computational learning theory, \u0438\u043B\u0438 \u043F\u0440\u043E\u0441\u0442\u043E \u0442\u0435\u043E\u0440\u0438\u044F \u043E\u0431\u0443\u0447\u0435\u043D\u0438\u044F) \u2014 \u044D\u0442\u043E \u043F\u043E\u0434\u043E\u0431\u043B\u0430\u0441\u0442\u044C \u0442\u0435\u043E\u0440\u0438\u0438 \u0438\u0441\u043A\u0443\u0441\u0441\u0442\u0432\u0435\u043D\u043D\u043E\u0433\u043E \u0438\u043D\u0442\u0435\u043B\u043B\u0435\u043A\u0442\u0430, \u043F\u043E\u0441\u0432\u044F\u0449\u0451\u043D\u043D\u0430\u044F \u0440\u0430\u0437\u0440\u0430\u0431\u043E\u0442\u043A\u0435 \u0438 \u0430\u043D\u0430\u043B\u0438\u0437\u0443 \u0430\u043B\u0433\u043E\u0440\u0438\u0442\u043C\u043E\u0432 \u043C\u0430\u0448\u0438\u043D\u043D\u043E\u0433\u043E \u043E\u0431\u0443\u0447\u0435\u043D\u0438\u044F."@ru . . . . . . . . . . . . . . . . . . . . "\u0422\u0435\u043E\u0440\u0438\u044F \u0432\u044B\u0447\u0438\u0441\u043B\u0438\u0442\u0435\u043B\u044C\u043D\u043E\u0433\u043E \u043E\u0431\u0443\u0447\u0435\u043D\u0438\u044F"@ru . "Computational learning theory"@en . . "Teoria da aprendizagem computacional"@pt . . . . "Computationele leertheorie"@nl . "387537"^^ . . . . . . . . . . . . . "8686"^^ . "In computer science, computational learning theory (or just learning theory) is a subfield of artificial intelligence devoted to studying the design and analysis of machine learning algorithms."@en . . . . . . . "De computationele leertheorie is een onderdeel van de theoretische informatica waarin algoritmes die gebruikt worden in het machinaal leren worden geanalyseerd."@nl . "In computer science, computational learning theory (or just learning theory) is a subfield of artificial intelligence devoted to studying the design and analysis of machine learning algorithms."@en . . . . . . . . . . . . "A teoria da aprendizagem computacional \u00E9 um sub-campo da intelig\u00EAncia artificial e teoria da computa\u00E7\u00E3o que busca construir modelos formais de projeto e analise de agentes de aprendizado baseados em m\u00E1quinas de estado. Alguns modelos famosos propostos s\u00E3o o Provavelmente Aproximadamente Correto, o AIXI, M\u00E1quinas de G\u00F6del, Indu\u00E7\u00E3o Universal de Solomonoff e Identifica\u00E7\u00E3o de Linguagem no Limite. Diferente da , que busca projetar e entender ferramentas que extraem padr\u00F5es estat\u00EDsticos nos dados pelo m\u00E9todo indutivo, a teoria da aprendizagem computacional tem maior foco em entender os limites computacionais de qualquer agente inferencial, como representa\u00E7\u00F5es simb\u00F3lico num\u00E9ricas, complexidade computacional e decidibilidade. Trabalhos mais recentes no campo tem explorado o projeto de agentes que atuam no processo de aprendizado, como ou ."@pt . . . . "\u0422\u0435\u043E\u0440\u0438\u044F \u0432\u044B\u0447\u0438\u0441\u043B\u0438\u0442\u0435\u043B\u044C\u043D\u043E\u0433\u043E \u043E\u0431\u0443\u0447\u0435\u043D\u0438\u044F (\u0430\u043D\u0433\u043B. computational learning theory, \u0438\u043B\u0438 \u043F\u0440\u043E\u0441\u0442\u043E \u0442\u0435\u043E\u0440\u0438\u044F \u043E\u0431\u0443\u0447\u0435\u043D\u0438\u044F) \u2014 \u044D\u0442\u043E \u043F\u043E\u0434\u043E\u0431\u043B\u0430\u0441\u0442\u044C \u0442\u0435\u043E\u0440\u0438\u0438 \u0438\u0441\u043A\u0443\u0441\u0441\u0442\u0432\u0435\u043D\u043D\u043E\u0433\u043E \u0438\u043D\u0442\u0435\u043B\u043B\u0435\u043A\u0442\u0430, \u043F\u043E\u0441\u0432\u044F\u0449\u0451\u043D\u043D\u0430\u044F \u0440\u0430\u0437\u0440\u0430\u0431\u043E\u0442\u043A\u0435 \u0438 \u0430\u043D\u0430\u043B\u0438\u0437\u0443 \u0430\u043B\u0433\u043E\u0440\u0438\u0442\u043C\u043E\u0432 \u043C\u0430\u0448\u0438\u043D\u043D\u043E\u0433\u043E \u043E\u0431\u0443\u0447\u0435\u043D\u0438\u044F."@ru . . . . . . . . . . . . . .