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ACL
2011
13 years 1 months ago
Pointwise Prediction for Robust, Adaptable Japanese Morphological Analysis
We present a pointwise approach to Japanese morphological analysis (MA) that ignores structure information during learning and tagging. Despite the lack of structure, it is able t...
Graham Neubig, Yosuke Nakata, Shinsuke Mori
CVPR
2012
IEEE
12 years 2 days ago
Learning latent temporal structure for complex event detection
In this paper, we tackle the problem of understanding the temporal structure of complex events in highly varying videos obtained from the Internet. Towards this goal, we utilize a...
Kevin Tang, Fei-Fei Li, Daphne Koller
AIED
2011
Springer
13 years 1 months ago
Causal Modeling of User Data from a Math Learning Environment with Game-Like Elements
We have created a math learning environment with game-like elements such as narrative, visual feedback, personalization, collection, etc. We made a study with four different versio...
Dovan Rai, Joseph E. Beck
BMCBI
2011
13 years 1 months ago
Learning sparse models for a dynamic Bayesian network classifier of protein secondary structure
Background: Protein secondary structure prediction provides insight into protein function and is a valuable preliminary step for predicting the 3D structure of a protein. Dynamic ...
Zafer Aydin, Ajit Singh, Jeff Bilmes, William Staf...
ICALT
2006
IEEE
14 years 3 months ago
An Approach for Detecting Learning Styles in Learning Management Systems
Detecting the needs of learners is a challenging but essential task to be able to provide adaptivity. In this paper we present a tool that enables learning management systems (LMS...
Sabine Graf, Kinshuk