GAMA: A General Automated Machine Learning Assistant

Siena's Clinical Decision Assistant with Machine Learning

This paper discusses Siena’s Clinical Decision Assistant’s (SCDA) system and its participation in the Text Retrieval Conference (TREC) Clinical Decision Support Track (CDST) of 2016. The overall goal of this track is to link medical cases to information that is pertinent to patient care. Participants were given a set of thirty topics in the form of medical case narratives and a snapshot of 1.25...

Machine Learning for Automated Reasoning

A General Theory for Training Learning Machine

Though the deep learning is pushing the machine learning to a new stage, basic theories of machine learning are still limited. The principle of learning, the role of the a prior knowledge, the role of neuron bias, and the basis for choosing neural transfer function and cost function, etc., are still far from clear. In this paper, we present a general theoretical framework for machine learning. ...

A General Paradigm for Applying Machine Learning in Automated Manufacturing Processes

This paper introduces a general dataanalysis paradigm for automated manufacturing processes. A number of tasks within the paradigm are discussed to encourage development of better machine learning and analysis solutions.

General Limitations on Machine Learning

Machine learning is widely regarded as a tool for overcoming the bottleneck in knowledge acquisition. Especially in knowledge-intensive domains there is the hope for using machine learning techniques successfully. This paper prove the general inability of simple learning programs to learn complex concepts from few input data. This holds independently of the epistemological problems of inductive...