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sisvu:academicYear 2006 (xsd:int)
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sisvu:description Methods for constructing computer programs that automatically improves with experience. Elements of system design: choosing training experience, target function and its representation. Concept learning as a search trough space of potential hypotheses. Decision tree learning. Neural networks. Evaluating hypotheses and Bayesian Learning. Instance-based learning: k-nearest neighbour learning, locally weighted regression, case-based reasoning. (en)
sisvu:description Oblikovanje programskog sustava koji automatski uči kroz iskustvo. Koraci u izgradnji sustava za učenje. Izbor primjera za stjecanje iskustva. Izbor i predstavljanje ciljne funkcije. Učenje kao pretraživanje i algoritmi za pretraživanje prostora potencijalnih hipoteza. Učenje stablom odlučivanja. Neuronske mreže. Evaluacija hipoteza i Bayesovo učenje. Metode učenja na temelju primjera: k-najbližih susjeda, LW regresija, zaključivanje na temelju slučaja. (hr)
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