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» Learning Generative Models of Similarity Matrices
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ACL
2009
13 years 7 months ago
Realistic Grammar Error Simulation using Markov Logic
The development of Dialog-Based ComputerAssisted Language Learning (DB-CALL) systems requires research on the simulation of language learners. This paper presents a new method for...
Sungjin Lee, Gary Geunbae Lee
AIIA
2005
Springer
14 years 3 months ago
Experimental Evaluation of Hierarchical Hidden Markov Models
Building profiles for processes and for interactive users is a important task in intrusion detection. This paper presents the results obtained with a Hierarchical Hidden Markov Mo...
Attilio Giordana, Ugo Galassi, Lorenza Saitta
SIGIR
2012
ACM
12 years 8 days ago
Top-k learning to rank: labeling, ranking and evaluation
In this paper, we propose a novel top-k learning to rank framework, which involves labeling strategy, ranking model and evaluation measure. The motivation comes from the difficul...
Shuzi Niu, Jiafeng Guo, Yanyan Lan, Xueqi Cheng
NIPS
1993
13 years 11 months ago
The Power of Amnesia
We propose a learning algorithm for a variable memory length Markov process. Human communication, whether given as text, handwriting, or speech, has multi characteristic time scal...
Dana Ron, Yoram Singer, Naftali Tishby
IROS
2006
IEEE
131views Robotics» more  IROS 2006»
14 years 3 months ago
Imitation Learning of Whole-Body Grasps
Abstract— A system is detailed here for using imitation learning to teach a robot to grasp objects using both hand and wholebody grasps, which use the arms and torso as well as h...
Kaijen Hsiao, Tomás Lozano-Pérez