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White blood cell (WBC) and red blood cell (RBC) counts were examined in a sample comprising 762 specimens, representing 25 genera and 38 species of captive non-human primates. Animals suffering from illnesses exhibited higher WBC counts than healthy specimens sampled during routine health checks. Analysis of basal WBC counts in healthy animals confirmed a(More)
We examine the possibility that recent promising results in automatic caption generation are due primarily to language models. By varying image representation quality produced by a convolutional neural network, we find that a state-of-theart neural captioning algorithm is able to produce quality captions even when provided with surprisingly poor image(More)
Most social network analysis works at the level of interactions between users. But the vast growth in size and complexity of social networks enables us to examine interactions at larger scale. In this work we use a dataset of 76M submissions to the social network Reddit, which is organized into distinct sub-communities called subreddits. We measure the(More)
When large social-media platforms allow users to easily form and self-organize into interest groups, highly related communities can arise. For example, the Reddit site hosts not just a group called food, but also HealthyFood, foodhacks, foodporn, and cooking, among others. Are these highly related communities created for similar classes of reasons (e.g., to(More)
The content of today’s social media is becoming more and more rich, increasingly mixing text, images, videos, and audio. It is an intriguing research question to model the interplay between these different modes in attracting user attention and engagement. But in order to pursue this study of multimodal content, we must also account for context: timing(More)
The processes by which multicellular organisms first emerged from their unicellular ancestors are fundamental to the biology of complex, differentiated life forms. Previous work suggests that reproductive division of labor between specialized germ and soma cells was central to this evolution in some cases. Here, we use the digital life platform Avida to(More)
Understanding the evolutionary relationships between organisms by comparing their genomic sequences is a focus of modern-day computational biology research. Estimating evolutionary history in this way has many applications, particularly in analyzing the progression of infectious, viral diseases. Phylogenetic reconstruction algorithms model evolutionary(More)
The processes by which multicellular organisms first emerged from their unicellular ancestors are fundamental to the biology of complex, differentiated life forms. Previous work suggests that reproductive division of labor between specialized germ and soma cells was central to this evolution in some cases. Here, we assess the potential of the digital life(More)
Co-occurrence matrices act as the input to many unsupervised learning algorithms, including those that learn word embeddings, and modern spectral topic models. However, the computation of these inputs often takes longer than the inference. While much thought has been given to implementing fast learning algorithms, there has been little consideration of(More)
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