This report describes the Barton Libraries RDF dataset and Longwell querybenchmark that we use for our recent VLDB paper on Scalable Semantic WebData Management Using Vertical Partitioning.

Table 2 (Supplemental): Complete data for all 100 recurrent expression programs (EPs) discovered by GeneProgram. Each EP has two identifying rows, a list of meta-genes, and a list of significantly enriched GO categories. ...

Table 1 (Supplemental): Summary of recurrent expression programs (EPs) discovered by GeneProgram. The columns are: (1) the EP identifier (an arbitrarily assigned number), (2) the number of genes in the EP, (3) the number ...

Distributed denial-of-service (DDoS) attacks can easily cripple victim hosts or networks, yet effective defenses remain elusive. Normal anycast can be used to force the diffusion of attack traffic over a group of several ...

Ease of information flow is both the boon and the bane of large-scale, decentralized systems like the World Wide Web. For all the benefits and opportunities brought by the information revolution, with that same revolution ...

A longstanding controversy in philosophy is whether decision-making isgoverned by reason or emotion. I study the role of physiologicalresponses in the decision-making process within the realm of financialmarkets, where ...

Analog designers are interested in optimization tools which automate the process of circuit sizing. Geometric programming, which uses posynomial models of MOSFET parameters, represents one such tool. Genetic algorithms ...

This thesis presents a new approach to root cause localization and fault diagnosis in the Internet based on a Common Architecture for Probabilistic Reasoning in the Internet (CAPRI) in which distributed, heterogeneous ...

The goal of amorphous computing is to identify organizationalprinciples and create programming technologies for obtainingintentional, pre-specified behavior from the cooperation of myriadunreliable parts that are arranged ...

Existing preference reasoning systems have been successful insimple domains. Broader success requires more natural and moreexpressive preference representations. This thesis develops arepresentation of logical preferences ...

The last 20 years have led to unprecedented improvements in chipdensity and system performance fueled mainly by Moore's Law. Duringthe same time, system and application software have bloated, leadingto unmanageable ...

Wireless networks can suffer from high packet loss rates. This paper shows that the loss rate can be significantly reduced by exposing information readily available at the physical layer. We make the physical layer convey ...

This paper traces the genesis of the MIT OpenCourseWare project from its initial strategic precursors in 1999 and 2000, through its launch in 2001 and its subsequent evolution. The story told here illuminates the interplay ...

We can evaluate models of natural intelligence, as well as theirindividual components, by using a model of hardware and developmentcosts, ignoring almost all the details of biology. The basic argumentis that neither the ...

This is a collection of information about regularized least squares (RLS). The facts here are not new results , but we have not seen them usefully collected together before. A key goal of this work is to demonstrate that ...

The human visual system is remarkably tolerant to degradations in image resolution: in a scene recognition task, human performance is similar whether $32 \times 32$ color images or multi-mega pixel images are used. With ...

Principles for Engineered EmergenceIt is difficult to establish engineering control over the behavior ofaggregates of unreliable devices with complicated interactionpatterns. I take a linguistic view of this problem, ...

Information systems form the backbones of the critical infrastructures of modern societies. Unfortunately, these systems are highly vulnerable to attacks that can result in enormous damage. Furthermore, traditional approaches ...

This thesis presents an integrated framework and implementation for Mertz, an expressive robotic creature for exploring the task of face recognition through natural interaction in an incremental and unsupervised fashion. ...

Supervised learning is difficult with high dimensional input spacesand very small training sets, but accurate classification may bepossible if the data lie on a low-dimensional manifold. GaussianProcess Latent Variable ...