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JMLR
2010
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12 years 11 months ago
An Efficient Explanation of Individual Classifications using Game Theory
We present a general method for explaining individual predictions of classification models. The method is based on fundamental concepts from coalitional game theory and prediction...
Erik Strumbelj, Igor Kononenko
SBP
2011
Springer
12 years 11 months ago
Ranking Information in Networks
Given a network, we are interested in ranking sets of nodes that score highest on user-specified criteria. For instance in graphs from bibliographic data (e.g. PubMed), we would l...
Tina Eliassi-Rad, Keith Henderson
MLDM
2008
Springer
13 years 4 months ago
Distributed Monitoring of Frequent Items
Monitoring frequently occuring items is a recurring task in a variety of applications. Although a number of solutions have been proposed there has been few to address the problem i...
Robert Fuller, Mehmed M. Kantardzic
SIGMOD
2010
ACM
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13 years 9 months ago
Sampling dirty data for matching attributes
We investigate the problem of creating and analyzing samples of relational databases to find relationships between string-valued attributes. Our focus is on identifying attribute...
Henning Köhler, Xiaofang Zhou, Shazia Wasim S...
IRAL
2003
ACM
13 years 9 months ago
A practical text summarizer by paragraph extraction for Thai
In this paper, we propose a practical approach for extracting the most relevant paragraphs from the original document to form a summary for Thai text. The idea of our approach is ...
Chuleerat Jaruskulchai, Canasai Kruengkrai
WWW
2004
ACM
14 years 5 months ago
Affinity rank: a new scheme for efficient web search
Maximizing only the relevance between queries and documents will not satisfy users if they want the top search results to present a wide coverage of topics by a few representative...
Yi Liu, Benyu Zhang, Zheng Chen, Michael R. Lyu, W...
ICML
1997
IEEE
14 years 5 months ago
An adaptation of Relief for attribute estimation in regression
Heuristic measures for estimating the quality of attributes mostly assume the independence of attributes so in domains with strong dependencies between attributes their performanc...
Marko Robnik-Sikonja, Igor Kononenko
ICML
2005
IEEE
14 years 5 months ago
Near-optimal sensor placements in Gaussian processes
When monitoring spatial phenomena, which are often modeled as Gaussian Processes (GPs), choosing sensor locations is a fundamental task. A common strategy is to place sensors at t...
Carlos Guestrin, Andreas Krause, Ajit Paul Singh