The 13th IEEE International Conference on Machine Learning and Applications (ICMLA) is the premier conference on topics at the confluence of machine learning and its application communities. Since 2003, ICMLA has successfully brought together leading researchers and developers from machine learning communities. The purpose of the conference is to identify challenging problems facing the development and applications of machine learning systems, and to shape future research directions through the publication of high quality, applied and theoretical research findings. In ICMLA 2014, we will continue the tradition of promoting collaboration among multiple areas. During ICMLA 2014, which will be held in Detroit, we will create a program that bridges further the academic-commercial gap in the machine learning and applications communities. Attendees will hear about very recent research results and be able to network with the who-is-who (luminaries, researchers, and practitioners) in the field.
ICMLA offers a variety of sponsorship opportunities suitable for large as well as small organizations. Sponsors of ICMLA gain visibility for their companies, demonstrate their support of critical information retrieval and knowledge management related research and development, and contribute to the success of the conference. Four levels of sponsorship are available:
In-kind sponsorships that directly defray the costs of the conference are also welcome, (for example, sponsorship for a student travel scholarship, coffee break, reception, or banquet), in these cases, the sponsor name is prominently displayed.
A ICMLA sponsor at any level will be listed in the conference Program Guide, and on the conference Web site, with an active link to the sponsor's company Home Page. Depending on the level of sponsorship, a sponsor will receive the following additional benefits:
Potential sponsors should send an e-mail to the corresponding sponsorship chair (Prof. Shiyong Lu) with their contact information including person to contact, telephone number, return e-mail address, level of sponsorship desired, and any other questions.