Machine Learning Approach

Debt Collection Industry: Machine Learning Approach

Businesses are increasingly interested in how big data, artificial intelligence, machine learning, and predictive analytics can be used to increase revenue, lower costs, and improve their business processes. In this paper, we describe how we have developed a data-driven machine learning method to optimize the collection process for a debt collection agency. Precisely speaking, we create a frame...

Machine teaching: a machine learning approach to technology enhanced learning

Many applications of Technology Enhanced Learning are based on strong assumptions: Knowledge needs to be standardized, structured and most of all externalized into learning material that preferably is annotated with meta-data for efficient re-use. A vast body of valuable knowledge does not meet these assumptions, including informal knowledge such as experience and intuition that is key to many ...

Pedagogical Approach in Machine Learning

Is it possible for humans to create the Artificial Intelligence smarter than human themselves? If yes, could it be realized by merely imitating human brains with the help of enormous computational capability or should there be a new paradigm of intelligence? Of course, we cannot answer the questions since we have not discovered such a paradigm that performs better than humans yet. I suggest tha...

Machine Learning A Probabilistic Approach

SPIML: a machine learning approach to phylogenomics

Sequencing of complete genomes from multiple related species within a single clade offers an opportunity to study phylogeny at the genome level. Within this context, the accurate reconstruction of the evolutionary histories of gene families has become a prominent albeit challenging goal. Previously, we have shown that the level of inaccuracy exhibited by current gene-tree reconstruction methods...