An Extended Kernel for Generalized Multiple-Instance Learning

The multiple-instance learning (MIL) model has been successful in areas such as drug discovery and content-based image-retrieval. Recently, this model was generalized and a corresponding kernel was introduced to learn generalized MIL concepts with a support vector machine. While this kernel enjoyed empirical success, it has limitations in its representation. We extend this kernel by enriching its representation and empirically evaluate our new kernel on data from content-based image retrieval, biological sequence analysis, and drug discovery. We found that our new kernel generalized noticeably better than the old one in content-based image retrieval and biological sequence analysis and was slightly better or even with the old kernel in the other applications, showing that an SVM using this kernel does not overfit despite its richer representation.

Gamma Sigma Delta Reception

What a pleasure it is to be here today as we recognize outstanding scholarship. Like everyone here, I want to congratulate each of your students being recognized today for your scholastic accomplishments. I want you to know we are happy you’ve chosen to study with us in the College of Human Resources and Family Sciences, the Department of Biological Systems Engineering, and the College of Agricultural Sciences and Natural Resources.

Gamma Sigma Delta Reception

“Teachers open the door, but you must enter by yourself.” I think of that old Chinese proverb today as we celebrate outstanding scholarship. I know our extremely talented and dedicated faculty, of whom I am especially proud, do a tremendous job of opening doors for those students who study with us in our classes in the College of Agricultural Sciences and Natural Resources and the College of Human Resources and Family Sciences here at the University of Nebraska – Lincoln. Today we also are very proud of and for each of you students being recognized for your scholastic accomplishments.

Presentation Remarks: Gamma Sigma Delta Award of Merit

I am really pleased to have this opportunity to present the 2008 Gamma Sigma Delta Award of Merit to Alan Baquet. Being here to say "Congratulations, Alan," is a special treat for me - and I do say, "Congratulations, Alan." You are very deserving of this honor.