output
19922026
most citedKnowledge Distillation: A Survey

3.8k citations

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10 papers · 1 filter

cs.AI2022★ 26 cited

Can counterfactual explanations of AI systems' predictions skew lay users' causal intuitions about the world? If so, can we correct for that?

Marko Tesic, Ulrike Hahn

Counterfactual (CF) explanations have been employed as one of the modes of explainability in explainable AI-both to increase the transparency of AI systems and to provide recourse.…

cs.AI2020★ 46 cited

BARD: A structured technique for group elicitation of Bayesian networks to support analytic reasoning

Ann E. Nicholson, Kevin B. Korb, Erik P. Nyberg +13

In many complex, real-world situations, problem solving and decision making require effective reasoning about causation and uncertainty. However, human reasoning in these cases is…

cs.AI2019

The Temporal Dynamics of Belief-based Updating of Epistemic Trust: Light at the End of the Tunnel?

Momme von Sydow, Christoph Merdes, Ulrike Hahn

We start with the distinction of outcome- and belief-based Bayesian models of the sequential update of agents' beliefs and subjective reliability of sources (trust). We then focus…

cs.AI2019

Query Inseparability for ALC Ontologies

Elena Botoeva, Carsten Lutz, Vladislav Ryzhikov +2

We investigate the problem whether two ALC ontologies are indistinguishable (or inseparable) by means of queries in a given signature, which is fundamental for ontology engineering…

cs.AI2018

Making Agents' Abilities Explicit

Yedi Zhang, Fu Song, Taolue Chen

Alternating-time temporal logics (ATL/ATL*) represent a family of modal logics for reasoning about agents' strategic abilities in multiagent systems (MAS). The interpretations of A…

cs.AI2018★ 10 cited

Inseparability and Conservative Extensions of Description Logic Ontologies: A Survey

Elena Botoeva, Boris Konev, Carsten Lutz +3

The question whether an ontology can safely be replaced by another, possibly simpler, one is fundamental for many ontology engineering and maintenance tasks. It underpins, for exam…

cs.AI2006

Comparing Typical Opening Move Choices Made by Humans and Chess Engines

Mark Levene, Judit Bar-Ilan

The opening book is an important component of a chess engine, and thus computer chess programmers have been developing automated methods to improve the quality of their books. For…

cs.AI2006

Evaluating Variable Length Markov Chain Models for Analysis of User Web Navigation Sessions

Jose Borges, Mark Levene

Markov models have been widely used to represent and analyse user web navigation data. In previous work we have proposed a method to dynamically extend the order of a Markov chain…

cs.AI2005★ 7 cited

A Suffix Tree Approach to Email Filtering

Rajesh M. Pampapathi, Boris Mirkin, Mark Levene

We present an approach to email filtering based on the suffix tree data structure. A method for the scoring of emails using the suffix tree is developed and a number of scoring and…

cs.AI2004

Ranking Pages by Topology and Popularity within Web Sites

Jose Borges, Mark Levene

We compare two link analysis ranking methods of web pages in a site. The first, called Site Rank, is an adaptation of PageRank to the granularity of a web site and the second, call…