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Large-scale graph-structured computation is central to tasks ranging from targeted advertising to natural language processing and has led to the development of several graph-parallel abstractions including Pregel and GraphLab. However, the natural graphs commonly found in the real-world have highly skewed power-law degree distributions, which challenge the(More)
We study graph estimation and density estimation in high dimensions, using a family of density estimators based on forest structured undirected graphical models. For density estimation, we do not assume the true distribution corresponds to a forest; rather, we form kernel density estimates of the bivariate and univariate marginals, and apply Kruskal’s(More)
Popular apps on the Apple iOS App Store can generate millions of dollars in profit and collect valuable personal user information. Fraudulent reviews could deceive users into downloading potentially harmful spam apps or unfairly ignoring apps that are victims of review spam. Thus, automatically identifying spam in the App Store is an important problem. This(More)
The field of Music Information Retrieval (MIR) draws from musicology, signal processing, and artificial intelligence. A long line of work addresses problems including: music understanding (extract the musically-meaningful information from audio waveforms), automatic music annotation (measuring song and artist similarity), and other problems. However, very(More)
We present algorithms for nonparametric regression in settings where the data are obtained sequentially. While traditional estimators select bandwidths that depend upon the sample size, for sequential data the effective sample size is dynamically changing. We propose a linear time algorithm that adjusts the bandwidth for each new data point, and show that(More)
We analyze the web access log of Zillow.com – one of the largest real estate website and present a hierarchical mixture model which learns clusters of users and sessions from the combination of web usage and content data. The model is able to exploit the hierarchical structure of the usage data, and learns stereotypical session types and user segments such(More)
In this paper, nanostructured carbon-doped titanium dioxide (TiO(2-x)Cx) has been fabricated from titanium carbide (TiC) thin film using electrochemical anodization in a solution containing fluorine ion. The resulting samples were characterized via scanning electron microscopy (SEM), energy dispersive X-ray (EDX) analysis, X-ray diffraction (XRD), and(More)
Cloud computing has become a source of enormous buzz and excitement, promising great reductions in the effort of establishing new applications and services, increases in the efficiency of operating them, and improvements in the ability to share data and services. Indeed, we believe that cloud computing has a bright future and envision a future in which(More)