A data driven approach is an emerging paradigm for the handling of analytic problems. In this paradigm the mantra is to let the data speak freely. However, when using machine learning algorithms, the data does not naturally reveal the best or even a good approach for algorithm choice. One method to let the algorithm reveal itself is through the use of Meta Learning, which uses the features of a dataset to determine a useful model to represent the entire dataset. This research proposes an improvement on the meta-model recommendation system by adding classification problems to the candidate problem space with appropriate evaluation metrics for these additional problems. This research predicts the relative performance of six machine learning a...
Choosing the most suitable algorithm to perform a machine learning task for a new problem is a recur...
A holistic approach to the algorithm selection problem is presented. The “algorithm selection framew...
A data classification system is designed consisting of three layers. The second layer is the main fo...
A data driven approach is an emerging paradigm for the handling of analytic problems. In this paradi...
A data driven approach is an emerging paradigm for the handling of analytic problems. In this paradi...
A data driven approach is an emerging paradigm for the handling of analytic problems. In this paradi...
Various meta-modeling techniques have been developed to replace computationally expensive simulation...
The importance and value of statistical predictions increase as data grows in availability and quant...
The task of selecting the most suitable classification algorithm for each data set under analysis is...
In this paper, we present a novel meta-feature generation method in the context of meta-learning, wh...
In this paper, we present a novel meta-feature generation method in the context of meta-learning, wh...
In: Encyclopedia of Systems Biology, W. Dubitzky, O. Wolkenhauer, K-H Cho, H. Yokota (Eds.), Springe...
The field of machine learning (ML) has seen explosive growth over the past decade, largely due to in...
In regression applications, there is no single algorithm which performs well with all data since the...
The exponential growth of volume, variety and velocity of data is raising the need for investigation...
Choosing the most suitable algorithm to perform a machine learning task for a new problem is a recur...
A holistic approach to the algorithm selection problem is presented. The “algorithm selection framew...
A data classification system is designed consisting of three layers. The second layer is the main fo...
A data driven approach is an emerging paradigm for the handling of analytic problems. In this paradi...
A data driven approach is an emerging paradigm for the handling of analytic problems. In this paradi...
A data driven approach is an emerging paradigm for the handling of analytic problems. In this paradi...
Various meta-modeling techniques have been developed to replace computationally expensive simulation...
The importance and value of statistical predictions increase as data grows in availability and quant...
The task of selecting the most suitable classification algorithm for each data set under analysis is...
In this paper, we present a novel meta-feature generation method in the context of meta-learning, wh...
In this paper, we present a novel meta-feature generation method in the context of meta-learning, wh...
In: Encyclopedia of Systems Biology, W. Dubitzky, O. Wolkenhauer, K-H Cho, H. Yokota (Eds.), Springe...
The field of machine learning (ML) has seen explosive growth over the past decade, largely due to in...
In regression applications, there is no single algorithm which performs well with all data since the...
The exponential growth of volume, variety and velocity of data is raising the need for investigation...
Choosing the most suitable algorithm to perform a machine learning task for a new problem is a recur...
A holistic approach to the algorithm selection problem is presented. The “algorithm selection framew...
A data classification system is designed consisting of three layers. The second layer is the main fo...