Declarative bias for specific-to-general ILP systems
نویسندگان
چکیده
منابع مشابه
Generating Declarative Language Bias for Top-Down ILP Algorithms
Many of today's algorithms for Inductive Logic Programming (ILP) put a heavy burden and responsibility on the user, because their declarative bias have to be deened in a rather low-level fashion. To address this issue, we developed a method for generating declarative language bias for top-down ILP systems from high-level declarations. The key feature of our approach is the distinction between a...
متن کاملTopLog: ILP Using a Logic Program Declarative Bias
This paper introduces a new Inductive Logic Programming (ILP) framework called Top Directed Hypothesis Derivation (TDHD). In this framework each hypothesised clause must be derivable from a given logic program called top theory (>). The top theory can be viewed as a declarative bias which defines the hypothesis space. This replaces the metalogical mode statements which are used in many ILP syst...
متن کاملDeclarative Bias for Structural Domains
We present a formal solution to the problem of situation identification in learning of structural concepts. Structural concepts are characterized by the interrelationships and attributes of their parts, rather than by just their own direct attributes. Our solution extends the declarative approach to bias of (Russell and Grosof, 1987) by formalizing the beliefs about relevancy in a more complex ...
متن کاملRapid Prototyping of ILP Systems Using Explicit Bias
We describe a system that allows one to rapidly implement a variety of biases for inductive logic programming; this is an especially suitable area for rapid prototyping, as a number of diierent restrictions on logic programs have been proposed. Our prototyping system is an extension of the Grendel learning system, which accepts two inputs: a set of examples of the concept to be learned, and an ...
متن کاملLearning Declarative Bias
In this paper, we introduce an inductive logic programming approach to learning declarative bias. The target learning task is inductive process modeling, which we briefly review. Next we discuss our approach to bias induction while emphasizing predicates that characterize the knowledge and models associated with the HIPM system. We then evaluate how the learned bias affects the space of model s...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Machine Learning
سال: 1995
ISSN: 0885-6125,1573-0565
DOI: 10.1007/bf00993477