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KDD
2012
ACM
187views Data Mining» more  KDD 2012»
7 years 10 months ago
Online learning to diversify from implicit feedback
In order to minimize redundancy and optimize coverage of multiple user interests, search engines and recommender systems aim to diversify their set of results. To date, these dive...
Karthik Raman, Pannaga Shivaswamy, Thorsten Joachi...
ATAL
2011
Springer
8 years 8 months ago
A study of computational and human strategies in revelation games
Revelation games are bilateral bargaining games in which agents may choose to truthfully reveal their private information before engaging in multiple rounds of negotiation. They a...
Noam Peled, Ya'akov (Kobi) Gal, Sarit Kraus
SIGMOD
2011
ACM
290views Database» more  SIGMOD 2011»
8 years 11 months ago
Database state generation via dynamic symbolic execution for coverage criteria
Automatically generating suf´Čücient database states is imperative to reduce human efforts in testing database applications. Complementing the traditional block or branch coverage...
Kai Pan, Xintao Wu, Tao Xie
PAKDD
2011
ACM
214views Data Mining» more  PAKDD 2011»
8 years 11 months ago
Spectral Analysis of k-Balanced Signed Graphs
Abstract. Previous studies on social networks are often focused on networks with only positive relations between individual nodes. As a significant extension, we conduct the spectr...
Leting Wu, Xiaowei Ying, Xintao Wu, Aidong Lu, Zhi...
AIEDU
2010
9 years 5 months ago
Supporting Collaborative Learning and E-Discussions Using Artificial Intelligence Techniques
An emerging trend in classrooms is the use of networked visual argumentation tools that allow students to discuss, debate, and argue with one another in a synchronous fashion about...
Bruce M. McLaren, Oliver Scheuer, Jan Miksatko
SOQUA
2007
9 years 9 months ago
Faults' context matters
When choosing a testing technique, practitioners want to know which one will detect the faults that matter most to them in the programs that they plan to test. Do empirical evalua...
Jaymie Strecker, Atif M. Memon
HIS
2007
9 years 9 months ago
Active Selection of Training Examples for Meta-Learning
Meta-Learning has been used to relate the performance of algorithms and the features of the problems being tackled. The knowledge in Meta-Learning is acquired from a set of meta-e...
Ricardo Bastos Cavalcante Prudêncio, Teresa ...
ICANN
2007
Springer
9 years 12 months ago
Active Learning to Support the Generation of Meta-examples
Meta-Learning has been used to select algorithms based on the features of the problems being tackled. Each training example in this context, i.e. each meta-example, stores the feat...
Ricardo Bastos Cavalcante Prudêncio, Teresa ...
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