. "1"^^ . . "3" . "Noisy-or classifier" . . . . . "1"^^ . . "Noisy-or classifier" . "International Journal of Intelligent Systems" . "488770" . . "21" . "18"^^ . "381;389" . "RIV/67985556:_____/06:00031425" . "Noisy-or classifier"@en . "Vomlel, Ji\u0159\u00ED" . . "Klasifik\u00E1tor zalo\u017Een\u00FD na funkci OR s \u0161umem"@cs . "Noisy-or classifier"@en . "P(GA201/04/0393), Z(AV0Z10750506)" . "We discuss an application of family of Bayesian network models - known as models of independence of casual influence (ICI) - to classification tasks with large numbers of attributes. An example of such a task is categorization of text documents, where attributes are single words from the documents. The key that enabled application of the ICI models is their compact representation using a hidden variable. We address the issue of learning by an computationally efficient implementation of the EM algorithm." . . . . "Klasifik\u00E1tor zalo\u017Een\u00FD na funkci OR s \u0161umem"@cs . "We discuss an application of family of Bayesian network models - known as models of independence of casual influence (ICI) - to classification tasks with large numbers of attributes. An example of such a task is categorization of text documents, where attributes are single words from the documents. The key that enabled application of the ICI models is their compact representation using a hidden variable. We address the issue of learning by an computationally efficient implementation of the EM algorithm."@en . "RIV/67985556:_____/06:00031425!RIV07-AV0-67985556" . . "[1BA586D3BA63]" . "automatic classification; probabilistic models; EM algorithm; noisy-or model"@en . "US - Spojen\u00E9 st\u00E1ty americk\u00E9" . . . . "0884-8173" . . "V \u010Dl\u00E1nku popisujeme pou\u017Eit\u00ED t\u0159\u00EDdy model\u016F bayesovsk\u00FDch s\u00EDt\u00ED - zn\u00E1m\u00E9 jako modely s kauz\u00E1ln\u00ED nez\u00E1vislost\u00ED - v oblasti klasifikace p\u0159i velk\u00E9m mno\u017Estv\u00ED atribut\u016F. P\u0159\u00EDkladem takov\u00E9to \u00FAlohy je klasifikace textov\u00FDch dokument\u016F. Kl\u00ED\u010Dem k \u00FAsp\u011B\u0161n\u00E9mu pou\u017Eit\u00ED t\u011Bchto model\u016F je jejich kompaktn\u00ED reprezentace pomoc\u00ED skryt\u00E9 prom\u011Bnn\u00E9. \u00DAlohu u\u010Den\u00ED t\u011Bchto model\u016F \u0159e\u0161\u00EDme efektivn\u00ED implementac\u00ED EM-algoritmu."@cs . .