http://popups.lib.uliege.be/1373-5411/index.php?id=491 Publications of Auteurs Tsutomu Da-te fr 0 http://popups.lib.uliege.be/1373-5411/index.php?id=3623 It becomes more important to construct an information retrieval system that can give flexible responses to variable user's requests in accordance with the evolution of the internet. We proposed a document retrieval system based on the maximum entropy principle on a Bayesian network (Saito, et al. 1998). We can claim two advantages for this document retrieval system. The first is that this system can produce several candidates of keywords which will help a user in retrieving a useful document, even if he can not recall a group of adequate keywords. The second is that this system can be customized corresponding to an individual user by tuning the parameters of a Bayesian network. But there is a problem for this system that it does not produce a retrieval result for some combinations of keywords. We have solved this problem, in this paper, by introducing fuzzy requests. Thu, 26 Sep 2024 10:26:27 +0200 Tue, 08 Oct 2024 17:14:56 +0200 http://popups.lib.uliege.be/1373-5411/index.php?id=3623 http://popups.lib.uliege.be/1373-5411/index.php?id=2713 In this paper, we deal with the parameter dependency for the limit figures and the sufficient number of iterations in drawing the limit figures of quadratic transformations. The structure of the limit figures depends on the coefficients of the transformation, and has turned out to be complicated. Using the property that the limit figures are one-way functions, Da-te (2001) proposed an authentication algorithm. For the purpose of verification of the securities in the authentication algorithm, we show the experimental results for some properties of the limit figures. Fri, 30 Aug 2024 11:54:24 +0200 Fri, 30 Aug 2024 11:54:33 +0200 http://popups.lib.uliege.be/1373-5411/index.php?id=2713 http://popups.lib.uliege.be/1373-5411/index.php?id=2080 In this paper, we deal with intuitively simple properties of the limit figures of two-dimensional inhomogeneous quadratic transformations. The divergence-convergence boundary of homogeneous quadratic transformations was investigated in detail in Da-te (1978). In an inhomogeneous case, there exist, possibly, the region of initial points converging to a fixed point other than the origin due to the linear terms. Then, there appears a boundary with a finite area as a limit figure. Next, in certain cases, the convergence regions or the divergence regions consist of infinite number of separated regions. We show the examples of the properties, and investigate them. Mon, 29 Jul 2024 11:29:00 +0200 Mon, 29 Jul 2024 11:29:15 +0200 http://popups.lib.uliege.be/1373-5411/index.php?id=2080 http://popups.lib.uliege.be/1373-5411/index.php?id=2063 Several information measures have been used as the criteria in information theory, statistics and various fields of engineering. Especially an information divergence has been well used as the measure of the difference between two probability distributions. In this paper, we propose the pseudo information divergence, which functions as usual information divergence, if two measured probability distributions are in some family of specific distributions. We introduce an example of the pseudo information divergence, and apply it to the problem of training multi-layer perceptrons from the data with the gross error noise. Mon, 29 Jul 2024 10:47:59 +0200 Mon, 29 Jul 2024 10:48:09 +0200 http://popups.lib.uliege.be/1373-5411/index.php?id=2063 http://popups.lib.uliege.be/1373-5411/index.php?id=1790 We have investigated affective influence derived from the visual effects in moving images. In this paper, we confine ourselves to transition, especially dissolve, as one of the visual effects. We found that the influence of transition can be anticipated by the impressiveness of the pre-transition and post-transition images. If both images are simple, the post-transition image is dominant in affective influence. And if both are complex, more impressive images are dominant in affective influence. Moreover, in the former case, the influence is independent of duration of transition, while in the latter case, the dominance of the post-transition image increases with the duration of transition. Tue, 16 Jul 2024 15:45:29 +0200 Thu, 10 Oct 2024 10:02:20 +0200 http://popups.lib.uliege.be/1373-5411/index.php?id=1790 http://popups.lib.uliege.be/1373-5411/index.php?id=1653 A reinforcement learning (RL) is known as one of the machine learning methods, and has been applied to multi-agent problems. In this paper, we propose a new RL method using a Bayesian network (BN), which is a stochastic model and plays a role of the supervised learning procedure. An agent learns how to move under certain circumstances by an original RL method, and then the strategy is improved by using BN. We verify the effectiveness of our method by carrying out simulations for a certain multi-agent problem, and show that an agent learns its appropriate strategy for complicated tasks more effectively by using our method. Mon, 15 Jul 2024 16:19:04 +0200 Mon, 15 Jul 2024 16:19:11 +0200 http://popups.lib.uliege.be/1373-5411/index.php?id=1653 http://popups.lib.uliege.be/1373-5411/index.php?id=485 In this paper a learning system of user action is proposed. It is constructed by combining an ultrasonic phase measuring method with an artificial pulse neural network by analogy of a physiological model of auditory processing. Thu, 27 Jun 2024 11:54:12 +0200 Thu, 27 Jun 2024 11:54:25 +0200 http://popups.lib.uliege.be/1373-5411/index.php?id=485