ILP: Just Do It
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منابع مشابه
Naive Bayesian Classiier within Ilp-r
When dealing with the classiication problems, current ILP systems often lag behind state-of-the-art attributional learners. Part of the blame can be ascribed to a much larger hypothesis space which, therefore, cannot be as thoroughly explored. However, sometimes it is due to the fact that ILP systems do not take into account the probabilistic aspects of hypotheses when classifying unseen exampl...
متن کاملILP : - Just Trie It
Despite the considerable success of Inductive Logic Programming, deployed ILP systems still have efficiency problems when applied to complex problems. Several techniques have been proposed to address the efficiency issue. Such proposals include query transformations, query packs, lazy evaluation and parallel execution of ILP systems, to mention just a few. We propose a novel technique to improv...
متن کاملLearnability of Description Logic Programs
Carin-ALN is an interesting new rule learning bias for ILP. By allowing description logic terms as predicates of literals in datalog rules, it extends the normal bias used in ILP as it allows the use of all quantified variables in the body of a clause. It also has at-least and at-most restrictions to access the amount of indeterminism of relations. From a complexity point of view Carin-ALN allo...
متن کاملParallelism of Java Bytecode Programs and a Java ILP Processor Architecture
The Java programming language has been widely used to develop dynamic content in Web pages. The Java Virtual Machine (JVM) executes Java bytecode. For efficient transmission over the Internet, the Java bytecode is a stack oriented architecture: instructions need not contain source and destination specifiers in their bytecodes. The Java bytecodes may be executed on various platforms by interpret...
متن کاملOn the Learnability of Description Logic Programms
Carin-ALN as proposed recently by Rouveirol and Ventos [2000] is an interesting new rule learning bias for ILP. By allowing description logic terms as predicates of literals in datalog rules, it extends the normal bias used in ILP as it allows the use of all quantified variables in the body of a clause, instead of the normal exist quantified variables and it has atleast and atmost restrictions ...
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تاریخ انتشار 2000