-UTCE is a platform for ultrametric tree construction and tree evaluation. Phylogenetic tree can be used by biologists to observe the relationship between species, and the ultrametric tree is a popular model which is assumed that the rate of evolution is constant. UPGMA is one of well-know ultrametric tree constructing algorithm. However, UPGMA is a heuristic algorithm and can not guarantee the...

The construction of optimal prefix codes plays a significant and influential role in applications concerning information processing and communication. For decades, different algorithms were proposed treating the issue of Huffman codes construction and various optimizations were introduced. In this paper we propose a detailed practical time-efficient parallel algorithm for generating Huffman cod...

Construction of a nearest neighbor graph is often a necessary step in many machine learning applications. However, constructing such a graph is computationally expensive, especially when the data is of high dimensionality. In this work, we focus on the use of two tree structures, k-d trees and ball trees, to implement nearest neighbor graph construction. We present parallel implementations of n...

This paper presents a prediction model based on a new neuro-fuzzy algorithm for estimating time in construction projects. The output of the proposed prediction model, which is employed based on a locally linear neuro-fuzzy (LLNF) model, is useful for assessing a project status at different time horizons. Being trained by a locally linear model tree (LOLIMOT) learning algorithm, the model is int...

This thesis investigates the following question: Can supervised learning techniques be successfully used for finding better solutions to multistage stochastic programs? A similar question had already been posed in the context of reinforcement learning, and had led to algorithmic and conceptual advances in the field of approximate value function methods over the years (Lagoudakis and Parr, 2003;...

The molecular sequence in the nature are evolved rather than invented. They are adopted from preexisting sequences. The conventional assumption on of independent evolution has been challenged by the biological evidence of hybridization, horizontal gene transfer and recombination. In such a scenario classical approaches of representing evolution by phylogenetic tree construction method fails to ...

Driven by a trend towards renewable forms of generation, in particular wind, the nature of power system operation is changing. With respect to wind power, the uncertainty of the wind becomes an issue which must be considered. Through the use of wind forecasting, this uncertainty may be managed. The error inherent in forecasting will impact system reliability and cost as will inaccuracies in ass...

Multistage stochastic mixed-integer programming is a powerful modeling paradigm appropriate for many problems involving a sequence of discrete decisions under uncertainty; however, they are difficult to solve without exploiting special structures. We present scenario-tree decomposition to establish bounds for unstructured multistage stochastic mixed-integer programs. Our method decomposes the s...