Foundations of Knowledge Acquisition Machine Learning /

One of the most intriguing questions about the new computer technology that has appeared over the past few decades is whether we humans will ever be able to make computers learn. As is painfully obvious to even the most casual computer user, most current computers do not. Yet if we could devise lear...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Meyrowitz, Alan L. (Επιμελητής έκδοσης), Chipman, Susan (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Boston, MA : Springer US, 1993.
Σειρά:The Springer International Series in Engineering and Computer Science, 195
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Learning = Inferencing + Memorizing
  • Adaptive Inference
  • On Integrating Machine Learning with Planning
  • The Role of Self-Models in Learning to Plan
  • Learning Flexible Concepts Using a Two-Tiered Representation
  • Competition-Based Learning
  • Problem Solving via Analogical Retrieval and Analogical Search Control
  • A View of Computational Learning Theory
  • The Probably Approximately Correct (PAC) and Other Learning Models
  • On the Automated Discovery of Scientific Theories.