Results 1  10
of
1,013,307
The Strength of Weak Proximity
, 1996
"... This paper initiates the study of weak proximitydrawings of graphs and demonstrates their advantages over strong proximity drawings in certain cases. Weak proximitydrawings are straight line drawings such that if the proximity region of two points p and q representing vertices is devoid of other poi ..."
Abstract

Cited by 19 (11 self)
 Add to MetaCart
This paper initiates the study of weak proximitydrawings of graphs and demonstrates their advantages over strong proximity drawings in certain cases. Weak proximitydrawings are straight line drawings such that if the proximity region of two points p and q representing vertices is devoid of other
The Strength of Weak Proximity (Extended Abstract)
"... This paper initiates the study of weak proximity drawings of graphs and demonstrates their advantages over strong proximity drawings in certain cases. Weak proximity drawings are straight line drawings such that if the proximity region of two points p and q representing vertices is devoid of other p ..."
Abstract
 Add to MetaCart
This paper initiates the study of weak proximity drawings of graphs and demonstrates their advantages over strong proximity drawings in certain cases. Weak proximity drawings are straight line drawings such that if the proximity region of two points p and q representing vertices is devoid of other
The strength of weak learnability
 Machine Learning
, 1990
"... Abstract. This paper addresses the problem of improving the accuracy of an hypothesis output by a learning algorithm in the distributionfree (PAC) learning model. A concept class is learnable (or strongly learnable) if, given access to a Source of examples of the unknown concept, the learner with h ..."
Abstract

Cited by 861 (24 self)
 Add to MetaCart
with high probability is able to output an hypothesis that is correct on all but an arbitrarily small fraction of the instances. The concept class is weakly learnable if the learner can produce an hypothesis that performs only slightly better than random guessing. In this paper, it is shown that these two
The Strength of Weak Ties: A Network Theory Revisited
 Sociological Theory
, 1982
"... In this chapter I review empirical studies directly testing the ..."
Abstract

Cited by 851 (2 self)
 Add to MetaCart
In this chapter I review empirical studies directly testing the
Boosting a Weak Learning Algorithm By Majority
, 1995
"... We present an algorithm for improving the accuracy of algorithms for learning binary concepts. The improvement is achieved by combining a large number of hypotheses, each of which is generated by training the given learning algorithm on a different set of examples. Our algorithm is based on ideas pr ..."
Abstract

Cited by 516 (15 self)
 Add to MetaCart
presented by Schapire in his paper "The strength of weak learnability", and represents an improvement over his results. The analysis of our algorithm provides general upper bounds on the resources required for learning in Valiant's polynomial PAC learning framework, which are the best general
Strengths and Weaknesses of quantum computing
 SIAM JOURNAL OF COMPUTATION
, 1997
"... Recently a great deal of attention has been focused on quantum computation following a ..."
Abstract

Cited by 386 (10 self)
 Add to MetaCart
Recently a great deal of attention has been focused on quantum computation following a
A large mass hierarchy from a small extra dimension
, 1999
"... We propose a new higherdimensional mechanism for solving the hierarchy problem. The weak scale is generated from a large scale of order the Planck scale through an exponential hierarchy. However, this exponential arises not from gauge interactions but from the background metric (which is a slice of ..."
Abstract

Cited by 1086 (4 self)
 Add to MetaCart
. There are fundamental spin2 excitations with mass of weak scale order, which are coupled with weak scale as opposed to gravitational strength to the standard model particles. The phenomenology of these models is quite distinct from that of large extra dimension scenarios; none of the current If spacetime
Wrappers for Feature Subset Selection
 AIJ SPECIAL ISSUE ON RELEVANCE
, 1997
"... In the feature subset selection problem, a learning algorithm is faced with the problem of selecting a relevant subset of features upon which to focus its attention, while ignoring the rest. To achieve the best possible performance with a particular learning algorithm on a particular training set, a ..."
Abstract

Cited by 1522 (3 self)
 Add to MetaCart
the strengths and weaknesses of the wrapper approach andshow a series of improved designs. We compare the wrapper approach to induction without feature subset selection and to Relief, a filter approach to feature subset selection. Significant improvement in accuracy is achieved for some datasets for the two
The Symbol Grounding Problem
, 1990
"... There has been much discussion recently about the scope and limits of purely symbolic models of the mind and about the proper role of connectionism in cognitive modeling. This paper describes the "symbol grounding problem": How can the semantic interpretation of a formal symbol system be m ..."
Abstract

Cited by 1072 (18 self)
 Add to MetaCart
Chinese from a Chinese/Chinese dictionary alone. A candidate solution is sketched: Symbolic representations must be grounded bottomup in nonsymbolic representations of two kinds: (1) "iconic representations" , which are analogs of the proximal sensory projections of distal objects and events
A Comparative Analysis of Methodologies for Database Schema Integration
 ACM COMPUTING SURVEYS
, 1986
"... One of the fundamental principles of the database approach is that a database allows a nonredundant, unified representation of all data managed in an organization. This is achieved only when methodologies are available to support integration across organizational and application boundaries.
Metho ..."
Abstract

Cited by 642 (10 self)
 Add to MetaCart
schema. The aim of the paper is to provide first a unifying framework for the problem of schema integration, then a comparative review of the work done thus far in this area. Such a framework, with the associated analysis of the existing approaches, provides a basis for identifying strengths
Results 1  10
of
1,013,307