Solving Problems In Mathematics Using The Personality Types As A Means Of Developing The Nation’s Character

HARDIKNAS’(The National Education Day) 2011 is ‘ Indonesia resurgent and having the special character’. By developing the nation character, we hope it can create the superior Indonesian people. Problem solving is the most important part that must be taught to the students. The six values of nation character can be given to the student through learning.mathematics problem solving. We have to consider the difference character of each students before we give the six values for solving the mathematics problem. In this study the writer will use the classification personality type by David Keirsey. Hopefully the result of this study enable the students to solve the problem in the daily life based on the value that can support their building character. Therefore the development of the nation character will be shown. Key Words: nation character, mathematics problem solving, personality typ

Uniform coevolution for solving the density classification problem in cellular automata

Genetic and Evolutionary Computation Conference (GECCO 2000). Las Vegas, Nevada (USA), July 8-12 2000.Uniform Coevolution is based on competitive evolution ideas where the solution and example sets are evolving by means of a competition to generate difficult test beds for the solutions in a gradual way. The method has been tested with the density parity problem in cellular automata, where the selected examples can biased the solutions founded. The results show a high value of generality using Uniform coevolution, compared with no Co-evolutive approaches.Publicad

Reducing statistical time-series problems to binary classification

We show how binary classification methods developed to work on i.i.d. data can be used for solving statistical problems that are seemingly unrelated to classification and concern highly-dependent time series. Specifically, the problems of time-series clustering, homogeneity testing and the three-sample problem are addressed. The algorithms that we construct for solving these problems are based on a new metric between time-series distributions, which can be evaluated using binary classification methods. Universal consistency of the proposed algorithms is proven under most general assumptions. The theoretical results are illustrated with experiments on synthetic and real-world data.Comment: In proceedings of NIPS 2012, pp. 2069-207

Derived equivalence classification of symmetric algebras of polynomial growth

We complete the derived equivalence classification of all symmetric algebras of polynomial growth, by solving the subtle problem of distinguishing the standard and nonstandard nondomestic symmetric algebras of polynomial growth up to derived equivalence.Comment: 11 page