Machine Learning Algorithm Validation

Sensor validation with machine learning

Since commercial and residential buildings account for nearly half of the United States energy consumption, making them more energy-efficient is a vital part of the nations overall energy strategy. Sensors play an important role in this research by collecting data needed to analyze building performance. Given this reliance on sensors, ensuring that sensor data is valid is a crucial problem. The...

Dermoscopic Image Segmentation using Machine Learning Algorithm

Problem statement: Malignant melanoma is the most frequent type of skin cancer. Its incidence has been rapidly increasing over the last few decades. Medical image segmentation is the most essential and crucial process in order to facilitate the characterization and visualization of the structure of interest in medical images. Approach: This study explains the task of segmenting skin lesions in ...

Can you Poison a Machine Learning Algorithm ?

Evaluation of Machine-Learning Algorithm Ranking Advisors

Selecting the best-suited machine-learning classi cation algorithms for data-mining tasks is a meta-learning activity of the METAL project. Two alternative approaches for providing a user with an `advisor' a ranked preference list of algorithms have been implemented. In this paper results of experiments designed to test thoroughly the consistency of these models are presented. After considering...

Machine Learning Based Profile Driven Scheduling Algorithm

Clusters of commodity servers are increasingly the platform of choice for running computationally and IO intensive jobs in a variety of industries. It is expected that using clusters will reduce the average job response time. But improper submission of jobs to clusters may lead to two problems, first it leads to blocking of jobs (waiting for results from other jobs) second it leads to disturbin...