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» Theory and Use of the EM Algorithm
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SIGIR
2008
ACM
13 years 8 months ago
Personalized active learning for collaborative filtering
Collaborative Filtering (CF) requires user-rated training examples for statistical inference about the preferences of new users. Active learning strategies identify the most infor...
Abhay Harpale, Yiming Yang
INFORMATICALT
2007
127views more  INFORMATICALT 2007»
13 years 8 months ago
Composition of Loop Modules in the Structural Blanks Approach to Programming with Recurrences: A Task of Synthesis of Nested Loo
The paper presents, first, the Structural Blanks (SB) approach, then a method to compose loop programs. SB is an approach for expressing computations based on recurrence relations...
Vytautas Cyras
TIT
2008
73views more  TIT 2008»
13 years 8 months ago
L-CAMP: Extremely Local High-Performance Wavelet Representations in High Spatial Dimension
A new wavelet-based methodology for representing data on regular grids is introduced and studied. The main attraction of this new L-CAMP methodology is in the way it scales with th...
Youngmi Hur, Amos Ron
COR
2002
90views more  COR 2002»
13 years 8 months ago
Extremist vs. centrist decision behavior: quasi-convex utility functions for interactive multi-objective linear programming prob
This paper presents the fundamental theory and algorithms for identifying the most preferred alternative for a decision maker (DM) having a non-centrist (or extremist) preferentia...
Behnam Malakooti, Jumah E. Al-alwani
DPD
2002
125views more  DPD 2002»
13 years 8 months ago
Parallel Mining of Outliers in Large Database
Data mining is a new, important and fast growing database application. Outlier (exception) detection is one kind of data mining, which can be applied in a variety of areas like mon...
Edward Hung, David Wai-Lok Cheung