SVM-Based Generalized Multiple-Instance Learning via Approximate Box Counting (2004)
Qingping Tao, Stephen Scott, N. V. Vinodchandran, Thomas Takeo Osugi
The multiple-instance learning (MIL) model has been very successful in application areas such as drug discovery and content-based imageretrieval.
New Techniques for Generation and Analysis (2004)
Chang Wang, Stephen D. Scott, Qingping Tao, Dmitri E. Fomenko, Vadim N. Gladyshev
We introduce new distance measures for the construction and analysis of phylogenies, focusing on thioredoxin-fold proteins. Our distance measures for tree construction are based on several criteria,...
A Faster Algorithm for Generalized Multiple-Instance Learning (2004)
Qingping Tao, Stephen D. Scott
In our prior work, we introduced a generalization of the multiple-instance learning (MIL) model in which a bag's label is not based on a single instance's proximity to a single target point. Rather,...
SVM-Based Generalized Multiple-Instance Learning (2004)
Qingping Tao, Stephen Scott, N. V. Vinodchandran, Thomas Takeo Osugi
The multiple-instance learning (MIL) model has been very successful in application areas such as drug discovery and content-based imageretrieval.
An Analysis Of Mcmc Sampling Methods For (2004)
Chawla et al. introduced a way to use the Markov chain Monte Carlo method to estimate weighted sums in multiplicative weight update algorithms when the number of inputs is exponential. But their...
Making efficient learning algorithms with exponentially many features (2004)
Expanding the learning problems' input spaces to high-dimensional feature spaces can increase expressiveness of the hypothesis class and thus may improve the performance of linear threshold-based...
Making efficient learning algorithms with exponentially many features / (2004)
Thesis (Ph. D.)--University of Nebraska--Lincoln, 2004.
Exploiting Webspace Organization for Accelerating Web Prefetching (2003)
The paper explores how the structure of Webspace can be used for accelerated Web prefetch. We have conducted experiments based on a novel hyperspace aware prefetch proxy and have studied the prefetch...