MULTI-HAZARD SUSCEPTIBILITY ASSESSMENT WITH HYBRID MACHINE LEARNING METHODS FOR TUT REGION (ADIYAMAN, TURKIYE)

A Hybrid Machine Learning Method for Intrusion Detection

Data security is an important area of concern for every computer system owner. An intrusion detection system is a device or software application that monitors a network or systems for malicious activity or policy violations. Already various techniques of artificial intelligence have been used for intrusion detection. The main challenge in this area is the running speed of the available implemen...

Machine Learning for Hybrid Machine Translation

We describe a substitution-based system for hybrid machine translation (MT) that has been extended with machine learning components controlling its phrase selection. The approach is based on a rule-based MT (RBMT) system which creates template translations. Based on the rule-based generation parse tree and target-to-target alignments, we identify the set of “interesting” translation candidates ...

Machine Learning for Multi-stage Selection of Numerical Methods

In various areas of numerical analysis, there are several possible algorithms for solving a problem. In such cases, each method potentially solves the problem, but the runtimes can widely differ, and breakdown is possible. Also, there is typically no governing theory for finding the best method, or the theory is in essence uncomputable. Thus, the choice of the optimal method is in practice dete...

Multi-tree Monte Carlo methods for fast, scalable machine learning

Multi-Stage Convex Relaxation Methods for Machine Learning