Titlebook: Algorithmic Learning Theory; 4th International Wo Klaus P. Jantke,Shigenobu Kobayashi,Takashi Yokomo Conference proceedings 1993 Springer-V

INCUR

Inductive inference machines that can refute hypothesis spaces,tion in the limit. Finally we show that for any ., the class, i.e. hypothesis space, of length-bounded EFS‘s with at most . axioms is inferable in our sense, that is, the class is refutable by a consistently working inductive inference machine. This means that sufficiently large hypothesis spaces are identifiable and refutable.

狂熱文化

松軟無(wú)力

Use of reduction arguments in determining Popperian FIN-type learning capabilities,ies, by presenting an ω. sequence of learning capabilities beginning at 1/2 which converges to 2/5. We believe that this sequence forms the . of the learning capabilities in this interval, but that the actual capability structure is very much more complex.

Override

Reformulation of explanation by linear logic toward logic for explanation, Their formalisms, however, suffer inconveniences from the nature of the logic underlying them — .. This paper explores one of the crucial inconveniences stemming from classical logic and attempts newly to construct an adequate logic for “explanation” based on ..

切割

On the duality between mechanistic learners and what it is they learn,lly learns a collection of functions. In this work, we consider the perspective of starting with a set of functions, and considering the collection of learning algorithms that are successful at learning the given functions. Some strong dualities are revealed.

conjunctivitis

Lecture Notes in Computer Sciencehttp://image.papertrans.cn/a/image/152985.jpg

Mets552

https://doi.org/10.1007/978-3-531-90520-4This paper discusses some problems in Molecular Biology to which learning paradigms may be applicable. As a case, we present our recent study on knowledge discovery from amino acid sequences by PAC-learning paradigm.

使隔離

https://doi.org/10.1007/978-3-531-90520-4A clausal system . for inductive inference is proposed. Given back-ground knowledge . and an observed fact ., each represented in terms of clauses, it infers a set . of clauses such that . ∪ .? .. It is ., i.e., can find every possible . regardless of whether . = □ or not. When hypothesis generation is suppressed, it simulates OL-deduction

annexation

Der Bologna-Prozess als PolitiknetzwerkStatistical Discriminant Analysis is a classical technique in pattern matching with applications for classification problems and more general decision tasks. In this paper, we use a specific class of discriminant functions which we call product discriminant functions, or simply PDF‘s. Our main results for PDF‘s are the following:

孵卵器