Detail A Relevancy Filter for Constructive Induction   Oleh:  Turney, P. ; Ganberger, D. ; Lavrac, N. Jenis: Article from Bulletin/Magazine Dalam koleksi: IEEE Intelligent Systems vol. 13 no. 2 (1998), page 50-56. Topik: ELECTRIC FILTERS; filter; induction Ketersediaan Perpustakaan Pusat (Semanggi) Nomor Panggil: II60.4A Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada     Lihat Detail Induk Isi artikel Some machine - learning algorithms enable the learner to extend its vocabulary with new terms if, for a given a set of training examples, the learner's vocabulary is too restricted to solve the learning task. We propose a filter, called the Reduce algorithm, that selects potentially relevant terms from the set of constructed terms and eliminates terms that are irrelevant for the learning task. Restricting constructive induction (or predicate invention) to relevant terms allows a much larger explored space of constructed terms. The elimination of irrelevant terms is especially well - suited for learners of large time or space complexity, such as genetic algorithms and artificial neural networks. To illustrate our approach to feature construction and irrelevant feature elimination, we applied our proposed relevancy filter to the 20 - and 24 - train East - West Challenge problems. The experiments show that the performance of a hybrid genetic algorithm, RL - ICET (Relational Learning with ICET), improved significantly when we applied the relevancy filter while pre -p rocessing the data set. Opini Anda Klik untuk menuliskan opini Anda tentang koleksi ini! Kembali

Copyright © 2006, 2007 Unika Atma Jaya, all rights reserved