Sunday, June 18, 2017
The rainy season has begun at the beginning of this June, and no rainy days continue in cool air since then in Tokyo. This evening is the true beginning of rainy season. It is alike three years ago. Anyway, this year is very much easy to live.
Wednesday, June 7, 2017
Sunday, May 28, 2017
Many things happened while I was away from blogging these two weeks. I am shocked at the Manchester tragedy. I cannot imagine such thing has happened around where I stayed five years before. I was stuck in writing a paper for these days, and isolated from outside. That is the way of life a researcher lives, but sometimes I feel somehow it is strange ...
Saturday, May 13, 2017
A cold and heavy rain lasts for the whole day from last night. Last May began with a very hot week, and this year is really different from that. Lilium rubellum, Japan's original lily blossomed in my north yard. I've not had this species blossom in the past twelve years. It's my first success on it. It has very thin pink on the flower. It's a marvelous gift from God in this May.
Thursday, May 11, 2017
I've got a letter of acceptance of my abstract for an invited talk at FSDM 2017 in Taiwan, that is the 3rd International Conference on Fuzzy Systems and Data Mining at National Dong Hwa University (NDHU) in Taiwan on November 24-27, 2017. My talk is entitled as "Collective Intelligence Modeling in Time Sensitive Decision Making". Its abstract goes like the following:
Collective intelligence is a nature-inspired problem solving technique that has been highly appreciated in machine learning and data mining of Big Data. Time-sensitive decision making highlights the next challenge of Big Data learning by deep neural networks. In this talk, after short briefing where collective intelligence survives at the advent of deep learning modeling, I will present two collective intelligence models for time-sensitive decision making. The first model is on bilateral decision making, and is formulated by introducing collective intelligence about human-machine interaction that dramatically accelerates the decision-making speed. Moreover, that model is enhanced into multilateral decision making under time constraint.
The second model applies collective intelligence, which is found in modeling human-machine interaction under time constraint, to very big biological data. In analytics of behaviors of the biological Big Data, we discovered how tiny creatures like ants make a wise choice in moving between an old and a new nest within a very short period of time. The ant’s moving is modeled and reduced into a simple probabilistic distribution that shows a very powerful way collective intelligence works in time-sensitive decision making. Through discussing the two collective intelligence models, we would offer exemplary cases on where collective intelligence, furthermore heuristics, that machine learning and data mining have discovered until the present time, contributes to the future research of time-sensitive deep learning.
Saturday, May 6, 2017
I have just read ten papers on deep neural networks that G. Hinton at Toronto and his group published since 2006. Insights of the deep NNs model let me hint out a direction by which we can apply what has been accumulated in various other fields of study in the area of computational intelligence. Some people among the area are very much negative on the future of computational intelligence rather than deep NNs modeling. I find, however, that is too early a decision to think about it. I do move into using deep NNs model from now on; they provide you with a very sharp knife to reduce a rich dimension of representations without or with a small amount of labeled data. I would bring what I've studied on heuristics that is to be included into computational intelligence. How would I do? I'll give a talk at conferences that are coming in November and December.
Thursday, May 4, 2017
Puerto Rico has filed for bankruptcy! I remember a smart guy from that country, who I met at Chicago almost twenty years ago. I had a talk with him after class about his beautiful mother land. What is going on in the States, the market of which is reported bull as always? Does media really tell truth?