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KDD
2012
ACM
201views Data Mining» more  KDD 2012»
12 years 7 days ago
Learning from crowds in the presence of schools of thought
Crowdsourcing has recently become popular among machine learning researchers and social scientists as an effective way to collect large-scale experimental data from distributed w...
Yuandong Tian, Jun Zhu
SIGIR
2012
ACM
12 years 7 days ago
Time-sensitive query auto-completion
Query auto-completion (QAC) is a common feature in modern search engines. High quality QAC candidates enhance search experience by saving users time that otherwise would be spent ...
Milad Shokouhi, Kira Radinsky
CVPR
2012
IEEE
12 years 6 days ago
WhittleSearch: Image search with relative attribute feedback
We propose a novel mode of feedback for image search, where a user describes which properties of exemplar images should be adjusted in order to more closely match his/her mental m...
Adriana Kovashka, Devi Parikh, Kristen Grauman
SIGCSE
2009
ACM
167views Education» more  SIGCSE 2009»
14 years 10 months ago
Python CS1 as preparation for C++ CS2
How suitable is a Python-based CS1 course as preparation for a C++-based CS2 course? After fifteen years of using C++ for both CS1 and CS2, the Computer Science Department at Mich...
Richard J. Enbody, William F. Punch, Mark McCullen
KDD
2009
ACM
191views Data Mining» more  KDD 2009»
14 years 10 months ago
Scalable pseudo-likelihood estimation in hybrid random fields
Learning probabilistic graphical models from high-dimensional datasets is a computationally challenging task. In many interesting applications, the domain dimensionality is such a...
Antonino Freno, Edmondo Trentin, Marco Gori