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AIED
2009
Springer
14 years 3 months ago
Detecting the Learning Value of Items In a Randomized Problem Set
Researchers that make tutoring systems would like to know which pieces of educational content are most effective at promoting learning among their students. Randomized controlled e...
Zachary A. Pardos, Neil T. Heffernan
EDM
2009
116views Data Mining» more  EDM 2009»
13 years 6 months ago
Determining the Significance of Item Order In Randomized Problem Sets
Researchers who make tutoring systems would like to know which sequences of educational content lead to the most effective learning by their students. The majority of data collecte...
Zachary A. Pardos, Neil T. Heffernan
ICML
2006
IEEE
14 years 9 months ago
Learning user preferences for sets of objects
Most work on preference learning has focused on pairwise preferences or rankings over individual items. In this paper, we present a method for learning preferences over sets of it...
Marie desJardins, Eric Eaton, Kiri Wagstaff
DKE
2008
72views more  DKE 2008»
13 years 8 months ago
On space constrained set selection problems
Space constrained optimization problems arise in a variety of applications, ranging from databases to ubiquitous computing. Typically, these problems involve selecting a set of it...
Themis Palpanas, Nick Koudas, Alberto O. Mendelzon
ICPR
2010
IEEE
14 years 2 months ago
A Meta-Learning Approach to Conditional Random Fields Using Error-Correcting Output Codes
—We present a meta-learning framework for the design of potential functions for Conditional Random Fields. The design of both node potential and edge potential is formulated as a...
Francesco Ciompi, Oriol Pujol, Petia Radeva