Faculty Impact Statements, 2009

Each issue [in the Research Series] has a distinctive titl

The Annual Report

Transmittal Letter -- Statement of Purpose -- Board of Advisors -- Baked Alaska -- Farewell Dr. Carla Kirts -- People, activities, accomplishments -- 1992 Research Review -- Financial Statement & Funding -- Professional Staf

Faculty Impact Statements, 2007

Each issue [in the Research Series] has a distinctive titl

Experiment Databases: Creating a New Platform for Meta-Learning Research

Many studies in machine learning try to investigate what makes an algorithm succeed or fail on certain datasets. However, the field is still evolving relatively quickly, and new algorithms, preprocessing methods, learning tasks and evaluation procedures continue to emerge in the literature. Thus, it is impossible for a single study to cover this expanding space of learning approaches. In this paper, we propose a community-based approach for the analysis of learning algorithms, driven by sharing meta-data from previous experiments in a uniform way. We illustrate how organizing this information in a central database can create a practical public platform for any kind of exploitation of meta-knowledge, allowing effective reuse of previous experimentation and targeted analysis of the collected results

Faculty Impact Statements, 2009

Each issue [in the Research Series] has a distinctive titl

Faculty Impact Statements, 2008

Each issue [in the Research Series] has a distinctive titl

2013 Annual Report of UVM Extension and the Vermont Agricultural Experiment Station

2013 Annual report of outreach and research from UVM Extension and Vermont Agricultural Experiment Station

Faculty Impact Statements, 2010

Each issue [in the Research Series] has a distinctive titl