• Documents
  • Authors
  • Tables
  • Log in
  • Sign up
  • MetaCart
  • DMCA
  • Donate

CiteSeerX logo

Tools

Sorted by:
Try your query at:
Semantic Scholar Scholar Academic
Google Bing DBLP
Results 1 - 10 of 2,325
Next 10 →

Tackling benchmark problems for commonsense reasoning.

by Ulrich Furbach , Andrew S Gordon , Claudia Schon - In Proceedings of Bridging - Workshop on Bridging the Gap between Human and Automated Reasoning, , 2015
"... Abstract. There is increasing interest in the field of automated commonsense reasoning to find real world benchmarks to challenge and to further develop reasoning systems. One interesting example is the Triangle Choice of Plausible Alternatives (Triangle-COPA), which is a set of problems presented ..."
Abstract - Cited by 1 (1 self) - Add to MetaCart
Abstract. There is increasing interest in the field of automated commonsense reasoning to find real world benchmarks to challenge and to further develop reasoning systems. One interesting example is the Triangle Choice of Plausible Alternatives (Triangle-COPA), which is a set of problems presented

Probabilistic Inference Using Markov Chain Monte Carlo Methods

by Radford M. Neal , 1993
"... Probabilistic inference is an attractive approach to uncertain reasoning and empirical learning in artificial intelligence. Computational difficulties arise, however, because probabilistic models with the necessary realism and flexibility lead to complex distributions over high-dimensional spaces. R ..."
Abstract - Cited by 736 (24 self) - Add to MetaCart
. Related problems in other fields have been tackled using Monte Carlo methods based on sampling using Markov chains, providing a rich array of techniques that can be applied to problems in artificial intelligence. The "Metropolis algorithm" has been used to solve difficult problems in statistical

The Determinants of Credit Spread Changes.

by Pierre Collin-Dufresne , Robert S Goldstein , J Spencer Martin , Gurdip Bakshi , Greg Bauer , Dave Brown , Francesca Carrieri , Peter Christoffersen , Susan Christoffersen , Greg Duffee , Darrell Duffie , Vihang Errunza , Gifford Fong , Mike Gallmeyer , Laurent Gauthier , Rick Green , John Griffin , Jean Helwege , Kris Jacobs , Chris Jones , Andrew Karolyi , Dilip Madan , David Mauer , Erwan Morellec , Federico Nardari , N R Prabhala , Tony Sanders , Sergei Sarkissian , Bill Schwert , Ken Singleton , Chester Spatt , René Stulz - Journal of Finance , 2001
"... ABSTRACT Using dealer's quotes and transactions prices on straight industrial bonds, we investigate the determinants of credit spread changes. Variables that should in theory determine credit spread changes have rather limited explanatory power. Further, the residuals from this regression are ..."
Abstract - Cited by 422 (2 self) - Add to MetaCart
changes. Below, we investigate the determinants of credit spread changes. From a contingent-claims, or noarbitrage standpoint, credit spreads obtain for two fundamental reasons: 1) there is a risk of default, and 2) in the event of default, the bondholder receives only a portion of the promised payments

The Lumière Project: Bayesian User Modeling for Inferring the Goals and Needs of Software Users

by Eric Horvitz, Jack Breese, David Heckerman, David Hovel, Koos Rommelse - In Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence , 1998
"... The Lumi`ere Project centers on harnessing probability and utility to provide assistance to computer software users. We review work on Bayesian user models that can be employed to infer a user's needs by considering a user's background, actions, and queries. Several problems were tackled i ..."
Abstract - Cited by 393 (18 self) - Add to MetaCart
The Lumi`ere Project centers on harnessing probability and utility to provide assistance to computer software users. We review work on Bayesian user models that can be employed to infer a user's needs by considering a user's background, actions, and queries. Several problems were tackled

Svm-knn: Discriminative nearest neighbor classification for visual category recognition

by Hao Zhang, Alexander C. Berg, Michael Maire, Jitendra Malik - in CVPR , 2006
"... We consider visual category recognition in the framework of measuring similarities, or equivalently perceptual distances, to prototype examples of categories. This approach is quite flexible, and permits recognition based on color, texture, and particularly shape, in a homogeneous framework. While n ..."
Abstract - Cited by 342 (10 self) - Add to MetaCart
nearest neighbor classifiers are natural in this setting, they suffer from the problem of high variance (in bias-variance decomposition) in the case of limited sampling. Alternatively, one could use support vector machines but they involve time-consuming optimization and computation of pairwise distances

Efficient Capital Market: II” ,

by Eugene F Fama , Fischer Black , David Booth , Michael Bradley , Michael Brennan , Stephen Buser , John Campbell , Nai-Fu Chen , John Cochrane , George Constantinides , Wayne Ferson , Kenneth French , Campbell Harvey , Richard Ippolito , Michael Jensen , Gautam Kaul , Josef Lakonishok , Bill Mcdonald , Robert Merton , Mark Mitchell , Sam Peltzman , Marc Reinganum , Jay Ritter , Harry Roberts , Richard Roll , G William Schwert , H Nejat Seyhun , Jay Shanken , Robert Shiller , Andrei Shleifer , Rex Sinquefield , Rene Stulz , Richard Thaler , Robert Vishny , Jerold Warner - Journal of Finance, No , 1991
"... SEQUELS ARE RARELY AS good as the originals, so I approach this review of the market efflciency literature with trepidation. The task is thornier than it was 20 years ago, when work on efficiency was rather new. The literature is now so large that a full review is impossible, and is not attempted h ..."
Abstract - Cited by 337 (0 self) - Add to MetaCart
, is that it is a clean benchmark that allows me to sidestep the messy problem of deciding what are reasonable information and trading costs. I can focus instead on the more interesting task of laying out the evidence on the adjustment of prices to various kinds of information. Each reader is then free to judge

Commonsense Reasoning meets Theorem Proving

by Ulrich Furbach , Claudia Schon
"... Abstract. The area of commonsense reasoning aims at the creation of systems able to simulate the human way of rational thinking. This paper describes the use of automated reasoning methods for tackling commonsense reasoning benchmarks. For this we use a benchmark suite introduced in the literature. ..."
Abstract - Add to MetaCart
Abstract. The area of commonsense reasoning aims at the creation of systems able to simulate the human way of rational thinking. This paper describes the use of automated reasoning methods for tackling commonsense reasoning benchmarks. For this we use a benchmark suite introduced in the literature

Nonmonotonic Causal Theories

by Enrico Giunchiglia, Joohyung Lee, Vladimir Lifschitz, Norman McCain, Hudson Turner - ARTIFICIAL INTELLIGENCE , 2004
"... The nonmonotonic causal logic defined in this paper can be used to represent properties of actions, including actions with conditional and indirect effects, nondeterministic actions, and concurrently executed actions. It has been applied to several challenge problems in the theory of commonsense kno ..."
Abstract - Cited by 274 (31 self) - Add to MetaCart
The nonmonotonic causal logic defined in this paper can be used to represent properties of actions, including actions with conditional and indirect effects, nondeterministic actions, and concurrently executed actions. It has been applied to several challenge problems in the theory of commonsense

The Public Acquisition of Commonsense Knowledge

by Push Singh , 2001
"... The Open Mind Common Sense project is an attempt to construct a database of commonsense knowledge through the collaboration of a distributed community of thousands of non-expert netizens. We give an overview of the project, describe our knowledge acquisition and representation strategy of using ..."
Abstract - Cited by 123 (8 self) - Add to MetaCart
of using natural language rather than formal logic, and demonstrate this strategy with a search engine application that employs simple commonsense reasoning to reformulate problem queries into more effective solution queries.

Definability and Commonsense Reasoning

by Gianni Amati, Luigia Carlucci Aiello, Fiora Pirri - ARTIF. INTELL , 1997
"... The definition of concepts is a central problem in commonsense reasoning. Many themes in nonmonotonic reasoning concern implicit and explicit definability. Implicit definability in nonmonotonic logic is always relative to the context - the current theory of the world. We show that fixed point equati ..."
Abstract - Cited by 6 (3 self) - Add to MetaCart
The definition of concepts is a central problem in commonsense reasoning. Many themes in nonmonotonic reasoning concern implicit and explicit definability. Implicit definability in nonmonotonic logic is always relative to the context - the current theory of the world. We show that fixed point
Next 10 →
Results 1 - 10 of 2,325
Powered by: Apache Solr
  • About CiteSeerX
  • Submit and Index Documents
  • Privacy Policy
  • Help
  • Data
  • Source
  • Contact Us

Developed at and hosted by The College of Information Sciences and Technology

© 2007-2019 The Pennsylvania State University