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829
Regularized multi-task learning
, 2004
"... This paper provides a foundation for multi–task learning using reproducing kernel Hilbert spaces of vector–valued functions. In this setting, the kernel is a matrix–valued function. Some explicit examples will be described which go beyond our earlier results in [7]. In particular, we characterize cl ..."
Abstract
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Cited by 277 (2 self)
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classes of matrix– valued kernels which are linear and are of the dot product or the translation invariant type. We discuss how these kernels can be used to model relations between the tasks and present linear multi–task learning algorithms. Finally, we present a novel proof of the representer theorem
Accurate Sum and Dot Product
- SIAM J. Sci. Comput
, 2005
"... Algorithms for summation and dot product of floating point numbers are presented which are fast in terms of measured computing time. We show that the computed results are as accurate as if computed in twice or K-fold working precision, K 3. For twice the working precision our algorithms for summa ..."
Abstract
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Cited by 96 (15 self)
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Algorithms for summation and dot product of floating point numbers are presented which are fast in terms of measured computing time. We show that the computed results are as accurate as if computed in twice or K-fold working precision, K 3. For twice the working precision our algorithms
Dot plots
- The American Statistician
, 1999
"... Dot plots represent individual observations in a batch of data with symbols, usually circular dots. They have been used for more than a hundred years to depict distributions in detail. Handdrawn examples show their authors ’ efforts to arrange symbols so that they are as near as possible to their pr ..."
Abstract
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Cited by 5 (1 self)
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an algorithm that more accurately represents the dot plots cited in the literature.
Comparison of Accurate Dot Product Algorithms
, 1994
"... A recently proposed algorithm for the accurate computation of the dot product [Kob 94] has been implemented and modified in order to obtain the best possible algorithm for the Aquarels toolbox. It is compared with the other well known algorithms with respect to runtime and intermediate storage space ..."
Abstract
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A recently proposed algorithm for the accurate computation of the dot product [Kob 94] has been implemented and modified in order to obtain the best possible algorithm for the Aquarels toolbox. It is compared with the other well known algorithms with respect to runtime and intermediate storage
Connecting the dots
, 2010
"... Symbolic Computation is an area of computer science that after 20 years of initial research had its acme in the mid-1980s, when its many new algorithms were made available in ”math systems for the masses” like Mathematica and Maple. Computational algebra and computational logic are the two main pill ..."
Abstract
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Symbolic Computation is an area of computer science that after 20 years of initial research had its acme in the mid-1980s, when its many new algorithms were made available in ”math systems for the masses” like Mathematica and Maple. Computational algebra and computational logic are the two main
Drawing graphs with dot
, 2006
"... dot draws directed graphs as hierarchies. It runs as a command line program, web visualization service, or with a compatible graphical interface. Its features include well-tuned layout algorithms for placing nodes and edge splines, edge labels, “record ” shapes with “ports ” for drawing data structu ..."
Abstract
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Cited by 35 (0 self)
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dot draws directed graphs as hierarchies. It runs as a command line program, web visualization service, or with a compatible graphical interface. Its features include well-tuned layout algorithms for placing nodes and edge splines, edge labels, “record ” shapes with “ports ” for drawing data
Connecting the Dots Between News Articles
"... The process of extracting useful knowledge from large datasets has become one of the most pressing problems in today’s society. The problem spans entire sectors, from scientists to intelligence analysts and web users, all of whom are constantly struggling to keep up with the larger and larger amount ..."
Abstract
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Cited by 48 (4 self)
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amounts of content published every day. With this much data, it is often easy to miss the big picture. In this paper, we investigate methods for automatically connecting the dots – providing a structured, easy way to navigate within a new topic and discover hidden connections. We focus on the news domain
Curve Reconstruction: Connecting Dots with Good Reason
- IN PROC. 15TH ANNU. ACM SYMPOS. COMPUT. GEOM
, 1999
"... Curve reconstruction algorithms are supposed to reconstruct curves from point samples. Recent papers present algorithms that come with a guarantee: Given a suciently dense sample of a closed smooth curve, the algorithms construct the correct polygonal reconstruction. Nothing is claimed about the ..."
Abstract
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Cited by 52 (8 self)
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Curve reconstruction algorithms are supposed to reconstruct curves from point samples. Recent papers present algorithms that come with a guarantee: Given a suciently dense sample of a closed smooth curve, the algorithms construct the correct polygonal reconstruction. Nothing is claimed about
Survey and taxonomy of ip address lookup algorithms
- IEEE Network
, 2001
"... he primary role of routers is to forward packets toward their final destinations. To this purpose, a router must decide for each incoming packet where to send it next. More exactly, the forwarding decision consists of finding the address of the next-hop router as well as the egress port through whic ..."
Abstract
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Cited by 108 (0 self)
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with the increasing traffic, it has been difficult for the packet processing capacity of routers to keep up with these increased data rates. Specifically, the address lookup operation is a major bottleneck in the forwarding performance of today’s routers. This article presents a survey of the latest algorithms
Constructions from dots and lines
- CoRR
"... Summary. A graph is a data structure composed of dots (i.e. vertices) and lines (i.e. edges). The dots and lines of a graph can be organized into intricate arrange-ments. The ability for a graph to denote objects and their relationships to one another allow for a surprisingly large number of things ..."
Abstract
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Cited by 22 (1 self)
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representation will be useful. If a modeler can leverage the plethora of tools and algorithms that store and process graphs, then such a mapping is worthwhile. This article explores the world of graphs in computing and exposes situations in which graphical models are beneficial. 1 The Bits and Pieces of the Dots
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