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PAMI
2006
114views more  PAMI 2006»
15 years 6 months ago
Nonparametric Supervised Learning by Linear Interpolation with Maximum Entropy
Nonparametric neighborhood methods for learning entail estimation of class conditional probabilities based on relative frequencies of samples that are "near-neighbors" of...
Maya R. Gupta, Robert M. Gray, Richard A. Olshen
ICML
2009
IEEE
16 years 7 months ago
Semi-supervised learning using label mean
Semi-Supervised Support Vector Machines (S3VMs) typically directly estimate the label assignments for the unlabeled instances. This is often inefficient even with recent advances ...
Yu-Feng Li, James T. Kwok, Zhi-Hua Zhou
DIGITEL
2008
IEEE
16 years 1 months ago
Using Posting Templates for Enhancing Students' Argumentative Elaborations in Learning Villages
Learning Villages (LV) is a game-based computersupported collaborative learning (CSCL) platform, which facilitates students’ issue-based discussion in a massively multiplayer ga...
Morris Siu Yung Jong, Alex W. C. Tse, Yuxia Zhou, ...
ICMCS
2007
IEEE
126views Multimedia» more  ICMCS 2007»
16 years 25 days ago
Learning from Relevance Feedback Sessions using a K-Nearest-Neighbor-Based Semantic Repository
This paper introduces a flexible learning approach for image retrieval with relevance feedback. A semantic repository is constructed offline by applying the k-nearest-neighborbase...
Matthew Royal, Ran Chang, Xiaojun Qi
KDD
2010
ACM
282views Data Mining» more  KDD 2010»
15 years 10 months ago
Optimizing debt collections using constrained reinforcement learning
In this paper, we propose and develop a novel approach to the problem of optimally managing the tax, and more generally debt, collections processes at financial institutions. Our...
Naoki Abe, Prem Melville, Cezar Pendus, Chandan K....