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(200605)Classification problems in machine learning involve assigning labels to various kinds of output types, from single assignment binary and multiclass classification to more complex assignments such as category ranking, ...
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(200710)We present algorithms for three geometric problems  clustering, orienteering, and conflictfree coloring. In the first part, we obtain small coresets for kmedian and kmeans clustering in general metric spaces and ...
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(200507)In the paper, we perform an indepth analytic study of the binary exponential algorithm (BEBA) that is widely used in distributed MAC protocols, for example, IEEE 802.11 DCF. We begin with a generalized framework of modeling ...
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(20100820)This thesis presents approximation algorithms for some NPHard combinatorial optimization problems on graphs and networks; in particular, we study problems related to Network Design. Under the widelybelieved complexitytheoretic ...
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AVCast: New Approaches For Implementing AvailabilityDependent Reliability for Multicast Receivers (200605)Today's largescale distributed systems consist of a collection of nodes that have highly variable availability . a phenomenon sometimes called churn. This availability variation is often a hindrance to achieving reliability ...
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(200902)Many questions about homotopy are provably hard or even unsolvable in general. However, in specific settings, it is possible to efficiently test homotopyequivalence or compute shortest cycles with prescribed homotopy. We ...
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(iSchools, 3/15/16)Gravity is one the principle forces in the universe, its power always apparent, giving us threedimensional creatures a constant sense of “up” and “down”. We propose the use of a metric for applying gravity, or similar ...
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(200412)A generalized predictive analysis technique is proposed for detecting violations of safety properties from apparently successful executions of multithreaded programs. Specifically, we provide an algorithm to monitor ...
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(200802)This research presents a novel method for learning the lexical semantics of action verbs. The primary focus is on actions that are directed towards objects, such as kicking a ball or pushing a chair. Specifically, this ...
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(200508)By adding the complement operator (\neg), extended regular expressions ({\ERE}) can encode regular languages nonelementarily more succinctly than regular expressions. The {\ERE} membership problem asks whether a word w ...
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(200606)During the past decade, due to rapidly growing computational power, complicated numerical algorithms have become popular in graphics community which greatly improved the quality of graphics imagery. On the other hand, to ...
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(200708)Linear Discriminant Analysis (LDA) has been a popular method for extracting features which preserve class separability. The projection vectors are commonly obtained by maximizing the between class covariance and simultaneously ...
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(200705)Solving partial differential equations (PDEs) using analytical techniques is intractable for all but the simplest problems. Many computational approaches to approximate solutions to PDEs yield large systems of linear ...
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(200511)We present new algorithms for learning a logical model of actions' effects and preconditions in partially observable domains. The algorithms maintain a logical representation of the set of possible action models after each ...
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(200508)We present a new model checking algorithm for verifying computation tree logic (CTL) properties. Our technique is based on using language inference to learn the fixpoints necessary for checking a CTL formula instead of ...
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(200604)Most of the existing learning algorithms take vectors as their input data. A function is then learned in such a vector space for classification, clustering, or dimensionality reduction. However, in some situations, there ...
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(200505)Filtering denotes any method whereby an agent updates its belief state  its knowledge of the state of the world  from a sequence of actions and observations. In logical filtering, the belief state is a logical formula ...
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(200603)Resource reclaiming schemes are applied in reservationbased realtime uniprocessor systems to support efficient reclaiming and sharing of computational resources left unused by early completing tasks, improving the response ...
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(200312)We develop an approach for automatically learning the optimal feature transformation for a given classification problem. The approach is based on extending the principle of risk minimization (RM), commonly used for learning ...
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(University of Illinois, 201404)Computerassisted algorithmic music composition has achieved great success in the past few decades. Composing this kind of music makes the composers think about music in a new way. Research on applying artiﬁcial intelligence ...
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Now showing items 120 of 32