Twitter, Instagram and Facebook are expanding rapidly, reporting on daily news, social activities regional or international actual occurrences. Twitter other platforms have gained popularity because they allow users to submit information, links, photos videos with few restrictions content. As a result of technology advances (“big” data) an increasing trend toward institutionalizing ethics regul...

Accurate detection of facial landmarks is very important for many applications like face recognition or analysis. In this paper we describe an efficient detector of facial landmarks based on a cascade of boosted regressors of arbitrary number of levels. We define as many regressors as landmarks and we train them separately. We describe how the training is conducted for the series of regressors ...

The EXO-200 experiment uses a Liquid Xenon (LXe) time projection chamber (TPC) to search for neutrinoless-double beta decay(0νββ), an extremely rare hypothetical decay that would indicate the Majorana nature of neutrinos.[1, 2, 3] The EXO-200 experiment has been taking data for over 2 years and has published one of the most sensitive limits on 0νββ half-life. Events deposit energy in the LXe th...

In May 2010 Yahoo! Inc. hosted the Learning to Rank Challenge. This paper summarizes the approach by the highly placed team Washington University in St. Louis. We investigate Random Forests (RF) as a low-cost alternative algorithm to Gradient Boosted Regression Trees (GBRT) (the de facto standard of web-search ranking). We demonstrate that it yields surprisingly accurate ranking results — compa...

In order to understand biotic patterns and their changes in nature there is an obvious need for high-quality seamless measurements of such patterns. If remote sensing methods have been applied with reasonable success in terrestrial environment, their use in aquatic ecosystems still remained challenging. In the present study we combined hyperspectral remote sensing and boosted regression tree mo...

Crime has a big impact in both the human lives and society’s growth, which needs to be addressed controlled. Machine learning algorithms as fanciest technology assist decision makers policy making proven its reliability showing unseen patterns crime. This research aims examine capability of trees ensemble classifying crime through model development. Experiments were done enhance ensembles class...

This paper presents a novel tree classifier for complex object detection tasks together with a general framework for real-time object tracking in videos using the novel tree classifier. A boosted training algorithm with a clustering-and-splitting step is employed to construct branches in the nodes recursively, if and only if it improves the discriminative power compared to a single monolithic n...

In the medical field, many outcome variables are dichotomized, and the two possible values of a dichotomized variable are referred to as classes. A dichotomized dataset is class-imbalanced if it consists mostly of one class, and performance of common classification models on this type of dataset tends to be suboptimal. To tackle such a problem, resampling methods, including oversampling and und...

The need for a place to live is one that many people prepare, both millennials and adults the elderly. With continued increase in population growth Indonesia increasing public interest buying early on, this can make not all groups of have or house quite livable. Related this, needs up-to-date information related predictions prices housing second-hand planning purposes future. purpose study carr...