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MLG
2007
Springer
16 years 1 days ago
Abductive Stochastic Logic Programs for Metabolic Network Inhibition Learning
Abstract. We revisit an application developed originally using Inductive Logic Programming (ILP) by replacing the underlying Logic Program (LP) description with Stochastic Logic Pr...
Jianzhong Chen, Stephen Muggleton, Jose Santos
FOCI
2007
IEEE
16 years 7 days ago
Almost All Learning Machines are Singular
— A learning machine is called singular if its Fisher information matrix is singular. Almost all learning machines used in information processing are singular, for example, layer...
Sumio Watanabe
ICML
1994
IEEE
15 years 9 months ago
Combining Top-down and Bottom-up Techniques in Inductive Logic Programming
This paper describes a new methodfor inducing logic programs from examples which attempts to integrate the best aspects of existingILP methodsintoa singlecoherent framework. In pa...
John M. Zelle, Raymond J. Mooney, Joshua B. Konvis...
IFSA
2007
Springer
102views Fuzzy Logic» more  IFSA 2007»
16 years 2 days ago
Strict Generalization in Multilayered Perceptron Networks
Typically the response of a multilayered perceptron (MLP) network on points which are far away from the boundary of its training data is not very reliable. When test data points ar...
Debrup Chakraborty, Nikhil R. Pal
ALT
1994
Springer
15 years 10 months ago
Explanation-Based Reuse of Prolog Programs
This paper presents a method of extracting subprograms from background knowledge. Most studies on learning logic programs so far developed are mainly concerned with pure Prolog, so...
Yasuyuki Koga, Eiju Hirowatari, Setsuo Arikawa