This paper describes a relational learning system LOPSTER (inductive LOgic Programming with Sub-unification of TERms) that learns very efficiently and with small number of examples a class of typical recursive logic p...
详细信息
The authors develop an approach which reuses queries from a well known domain called the base domain in an unfamiliar one called the target domain. The objective is to model the behavior of naive users who often adapt...
详细信息
The authors develop an approach which reuses queries from a well known domain called the base domain in an unfamiliar one called the target domain. The objective is to model the behavior of naive users who often adapt queries from documentation examples to the problem at hand. They rely on a weak form of derivational analogy-traces of a planner operating in the base domain are used to derive a target domain query's implementation in SQL from its specification. The very simple planner used builds in the base domain plans that result in particularly simple, prototypical queries. Queries are specified in a high level subset of a natural language.< >
The authors show how the compositional software reuse approach can be fruitfully cast in the case-based reasoning (CBR) paradigm. Any CBR system in which the cases are software artifacts must rely on software-specific...
详细信息
The authors show how the compositional software reuse approach can be fruitfully cast in the case-based reasoning (CBR) paradigm. Any CBR system in which the cases are software artifacts must rely on software-specific concepts to provide adequate knowledge representation. However, the fact that these software artifacts can be executed on a computer should yield stronger results than could be expected from generic CBR. The CAESAR system relies on advanced data flow analysis concepts for its representation of knowledge about software modules. Cases and their fragments are retrieved and adapted to solve new problems. The new cases which result are executed on system-generated test sets to evaluate the results of CBR.< >
Kayles is a nonpartizan two-person game. In such games the moves available to both the players are the same and either the player on move wins or the previous player wins. In the "normal form" of the game, t...
详细信息
Kayles is a nonpartizan two-person game. In such games the moves available to both the players are the same and either the player on move wins or the previous player wins. In the "normal form" of the game, the last player who can make a move is declared the winner. In the "misere form" of the game, the player who makes the last move is declared the loser. The complete analysis of the normal form of the game of Kayles has been described by Berlekamp, Conway, and Guy. This paper completes their analysis of the misere form of Kayles. This is done on the basis of certain properties of what have been called "wild" positions of misere games.
Designing interactive interfaces for individual usage is a significantly hard task that is being surmounted by evolving theory and hours of trial aand error. The task of designing interactive interfaces for cooperativ...
详细信息
This paper describes a modularized AI system being built to help improve electromagnetic compatibility (EMC) among shipboard topside equipment and their associated systems. CLEER is intended to act as an easy to use i...
详细信息
This paper describes a modularized AI system being built to help improve electromagnetic compatibility (EMC) among shipboard topside equipment and their associated systems. CLEER is intended to act as an easy to use integrator of existing expert knowledge and pre-existing data bases and large scale analytical models. Due to these interfaces; to the need for portability of the software; and to artificial intelligence related design requirements (such as the need for spatial reasoning, expert data base management, model base management, track-based reasoning, and analogical (similar ship) reasoning) it was realized that traditional expert system shells would be inappropriate, although relatively off-the-shelf AI technology could be incorporated. In the same vein, the rapid prototyping approach to expert system design and knowledge engineering was not pursued in favor of a rigorous systems engineering methodology. The critical design decisions affecting CLEER's development are summarized in this paper along with lessons learned to date all in terms of “how,” “why,” and “when” specific features are being developed.
Designing interactive interfaces for individual usage is a significantly hard task that is being surmounted by evolving theory and hours of trial and error. The task of designing interactive interfaces for cooperative...
详细信息
Designing interactive interfaces for individual usage is a significantly hard task that is being surmounted by evolving theory and hours of trial and error. The task of designing interactive interfaces for cooperative...
ISBN:
(纸本)9780897912822
Designing interactive interfaces for individual usage is a significantly hard task that is being surmounted by evolving theory and hours of trial and error. The task of designing interactive interfaces for cooperative work is even more difficult. Not only is it necessary to deal with the individual's cognitive processes and model of the computer aided task, but also to build software to support human - human communication with all the underlying socialization and group dynamics that this communication *** the development of the Capture Lab environment, guesswork was coupled with a study of human behavior in meetings both electronic and conventional, an extrapolation of existing research and a series of mini-experiments to test out various ideas about the design. These approaches are described in the body of the paper along with the design considerations at issue and the meeting behaviors we have since observed as a result of our design choices.
This book constitutes the refereed proceedings of the joint conference on machinelearning and Knowledge Discovery in databases: ECML PKDD 2009, held in Bled, Slovenia, in September 2009. The 106 papers presented in t...
详细信息
ISBN:
(数字)9783642041747
ISBN:
(纸本)9783642041730
This book constitutes the refereed proceedings of the joint conference on machinelearning and Knowledge Discovery in databases: ECML PKDD 2009, held in Bled, Slovenia, in September 2009. The 106 papers presented in two volumes, together with 5 invited talks, were carefully reviewed and selected from 422 paper submissions. In addition to the regular papers the volume contains 14 abstracts of papers appearing in full version in the machinelearning Journal and the Knowledge Discovery and databases Journal of Springer. The conference intends to provide an international forum for the discussion of the latest high quality research results in all areas related to machinelearning and knowledge discovery in databases. The topics addressed are application of machinelearning and data mining methods to real-world problems, particularly exploratory research that describes novel learning and mining tasks and applications requiring non-standard techniques.
暂无评论