Sciweavers

754 search results - page 59 / 151
» Benefits of Learning in Negotiation
Sort
View
ECML
2006
Springer
13 years 11 months ago
Margin-Based Active Learning for Structured Output Spaces
In many complex machine learning applications there is a need to learn multiple interdependent output variables, where knowledge of these interdependencies can be exploited to impr...
Dan Roth, Kevin Small
PKDD
2010
Springer
143views Data Mining» more  PKDD 2010»
13 years 5 months ago
A Unified Approach to Active Dual Supervision for Labeling Features and Examples
Abstract. When faced with the task of building accurate classifiers, active learning is often a beneficial tool for minimizing the requisite costs of human annotation. Traditional ...
Josh Attenberg, Prem Melville, Foster J. Provost
CSEE
2007
Springer
14 years 1 months ago
Lab Partners: If They're Good Enough for the Natural Sciences, Why Aren't They Good Enough for Us?
Despite many professed benefits of collaboration, some computer science educators feel students need to master work individually, particularly in the courses early in the curricul...
Laurie Williams, Lucas Layman
AI50
2006
13 years 11 months ago
What Can AI Get from Neuroscience?
The human brain is the best example of intelligence known, with unsurpassed ability for complex, real-time interaction with a dynamic world. AI researchers trying to imitate its re...
Steve M. Potter
PE
2000
Springer
95views Optimization» more  PE 2000»
13 years 7 months ago
Compositional performance modelling with the TIPPtool
Stochastic process algebras have been proposed as compositional specification formalisms for performance models. In this paper, we describe a tool which aims at realising all bene...
Holger Hermanns, Ulrich Herzog, Ulrich Klehmet, Va...