Native to the Pacific Northwest, Ceratomyxashastais a myxosporeanparasite that infects wild and cultivated salmon and has a significance impact on its population in the Klamath River basin. The study suggests that the transmission of mixed genotypes of the parasite are common in Chinook salmon but the age of the fish...
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and Persistence of Ceratomyxa shasta
PeterWong, Charlene N. Hurst, R. Adam Ray, and Jerri L
Native to the Pacific Northwest, Ceratomyxashastais a myxosporeanparasite that infects wild and cultivated salmon and has a significance impact on its population in the Klamath River basin. The study suggests that the transmission of mixed genotypes of the parasite are common in Chinook salmon but the age of the fish...
In text classification, labeling features is often less time consuming than labeling entire documents. In situations where very little labeled training data is available, feature relevance feedback has the potential to dramatically increase classification performance. We review previous work on incorporating feature relevance feedback in the form of labeled features...
Drosophila suzukii is a global and economically significant pest of berries and other soft fruits. This insect can survive and reproduce under a wide variety of environmental conditions and with a substantial number of cultivated and wild hosts. Management of D. suzukii is commonly done with chemical control strategies. However,...
A major objective of this investigation was to determine the
possible roles, if any, of poly-β-hydroxybutyrate and products of
its metabolic breakdown in symbiotic nitrogen fixation by nodule
bacteroids. Changes in poly -β- hydroxybutyrate content and in
activities of nitrogenase, β-hydroxybutyrate dehydrogenase, and
isocitrate lyase were studied under various conditions...
One of the tasks that continues to prove difficult in robotics is the ability to grasp objects of varying shapes. It is time-consuming to acquire large amounts of real-world data in order to train accurate classifiers that can predict the success or failure of a grasp. To solve this issue,...
This dissertation delves into understanding, characterizing, and addressing dataset shift in deep learning, a pervasive issue for deployed machine learning systems. Integral aspects of the problem are examined: We start with the use of counterfactual explanations in order to characterize the behavior of deep reinforcement learning agents in visual input...
Many applications in surveillance, monitoring, scientific discovery, and data cleaning require the identification of anomalies. Although many methods have been developed to identify statistically significant anomalies, a more difficult task is to identify anomalies that are both interesting and statistically significant. Category detection is an emerging area of machine learning...
Many large-scale data analysis applications involve data that can vary over both time and space. Often the primary goal of analyzing spatiotemporal data is identifying trends, movements, and sudden changes with respect to time, location, or both. This can include a variety of applications in economics (housing prices, unemployment, job...
Although machine learning systems are often effective in real-world applications, there are situations in which they can be even better when provided with some degree of end user feedback. This is especially true when the machine learning system needs to customize itself to the end user's preferences, such as in...