Detail Learning the Form of Causal Relationships Using Hierarchical Bayesian Models Bibliografi Author: [s.n] Topik: Causal inference learning; functional form of causal relationships; hierarchical Bayesian models; Using knowledge of functional form in causal induction; Models of causal learning; Causal graphical models; Learning causal strength; Learning causal structure; Modeling the effects of knowledge of functional form; causal induction outlined; Using knowledge of functional form; Bayesian inference; Learning causal theories; Testing the predictions of the hierarchical Bayesian approach; kinds of relationship forms expressed as sigmoid functions; Known causal structure; Unknown causal structure; The effects of noise; Manipulating causal strength; Effects of domain; Robustness and interpretation of parameters; Alternative priors on functional forms; Other hierarchical Bayesian models; Toward a more general model of functional form learning Bahasa: (EN )     Tahun Terbit: 2009     Jenis: Journal Fulltext: 06. Learning the Form of Causal Relationships Using Hierarchical Bayesian Models.pdf (733.85KB; 1 download) Abstract Causal reasoning; Bayesian networks; Bayesian models; Hierarchical models; Rational inference; Structure learning; Human experimentation; Computer simulation Opini Anda Klik untuk menuliskan opini Anda tentang koleksi ini! Lihat Sejarah Pengadaan  Konversi Metadata   Kembali

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