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CORR
2011
Springer
222views Education» more  CORR 2011»
14 years 10 months ago
Weakly Supervised Learning of Foreground-Background Segmentation using Masked RBMs
Abstract. We propose an extension of the Restricted Boltzmann Machine (RBM) that allows the joint shape and appearance of foreground objects in cluttered images to be modeled indep...
Nicolas Heess, Nicolas Le Roux, John M. Winn
179
Voted
HIS
2004
15 years 7 months ago
A Case-Based Recommender for Task Assignment in Heterogeneous Computing Systems
Case-based reasoning (CBR) is a knowledge-based problem-solving technique, which is based on reuse of previous experiences. In this paper we propose a new model for static task as...
S. Ghanbari, Mohammad Reza Meybodi, Kambiz Badie
169
Voted
ALT
1998
Springer
15 years 10 months ago
Learning with Refutation
In their pioneering work, Mukouchi and Arikawa modeled a learning situation in which the learner is expected to refute texts which are not representative of L, the class of langua...
Sanjay Jain
LREC
2008
155views Education» more  LREC 2008»
15 years 7 months ago
Using Reordering in Statistical Machine Translation based on Alignment Block Classification
Statistical Machine Translation (SMT) is based on alignment models which learn from bilingual corpora the word correspondences between source and target language. These models are...
Marta R. Costa-Jussà, José A. R. Fon...
IVA
2009
Springer
16 years 29 days ago
Predicting User Psychological Characteristics from Interactions with Empathetic Virtual Agents
Enabling virtual agents to quickly and accurately infer users’ psychological characteristics such as their personality could support a broad range of applications in education, t...
Jennifer L. Robison, Jonathan P. Rowe, Scott W. Mc...