2374698
A Model of Children's Vocabulary Acquisition Using Inductive Logic Programming
393381
Experimental Study of Semantic Contents Mining on Intra-university Enterprise Contents Management System for Knowledge Sharing
We developed an Enterprise Contents Management System for an academic domain The main feature of this system is its function for focusing searches in Web documents, utilizing human names and locations appearing in the documents as the search context To realize this function, we adopted a standard text-mining algorithm for extracting proper nouns We conducted an experimental study of this system against the existing digital contents of our university, and succeeded in efficiently obtaining suitable contents along the given contexts, which were obtained through previous searches This experiment also suggested that our approach solves the general problem of finding an appropriate set of key words in a Web search By performing this experiment, we confirmed that context mining is one of the most important technologies to be further developed in our effort to promote knowledge circulation through digital contents.
30844306
Specification Languages versus Programming Languages (Panel)
9638240
Curried least general generalization: A framework for higher order concept learning
Continued progress with research in inductive logic programming relies on further extensions of their underlying logics. The standard tactics for extending expressivity include a generalization to higher order logics, which immediately forces attention to the computational complexity of higher order reasoning.
13025235
Query Evaluation of Deductive Database by MGTP and its Application to Data Mining
37726421
A Framework for Interactive Problem Solving Based on Interactive Query Revision
Logic programming has been widely used because of the clearness of its semantics and its extensibility. Many inference systems have been proposed using a logic programming framework. But few of these have studied logic based man-machine interaction, apart from systems based on incremental query [Emden 1985]. Incremental query allows users to enter a part of queries incrementally instead of entering the whole query at once, as in Prolog. In this paper we investigate essential concepts of interactive problem solving and generalize incremental query further. And we propose a new query model for logic programming, which we call interactive query revision. Interactive query revision allows a user to modify queries and hypotheses and to act as a part of the inference engine, in addition to entering queries incrementally. We apply interactive query revision to an interactive LSI layout system.
11394601
On the number of securities which constitute an efficient portfolio
The purpose of this paper is to discuss the relationship between the number of securities which constitute an efficient portfolio as defined by the standard mean-variance portfolio selection model and the number of periods used to compute the efficient portfolio. It is shown that the number of data gives the upper bound of the number of securities which constitute an efficient portfolio, when each efficient portfolio is unique for a given expected return. Empirical tests based on actual return data show that this upper bound is very tight when the number of data is small. However, when more data are used, the upper bound becomes looser. This result is incompatible with the market efficiency. These empirical tests also indicate that a very tight upper bound often causes a degenerate case ensuring zero-variance portfolios.