Sciweavers

667 search results - page 36 / 134
» Learning to Model Sequences Generated by Switching Distribut...
Sort
View
105
Voted
ICCV
2001
IEEE
16 years 5 months ago
Example-Based Facial Sketch Generation with Non-parametric Sampling
In this paper, we present an example-based facial sketch system. Our system automatically generates a sketch from an input image, by learning from example sketches drawn with a pa...
Hong Chen, Ying-Qing Xu, Heung-Yeung Shum, Song Ch...
122
Voted
JMLR
2010
103views more  JMLR 2010»
14 years 10 months ago
Learning Nonlinear Dynamic Models from Non-sequenced Data
Virtually all methods of learning dynamic systems from data start from the same basic assumption: the learning algorithm will be given a sequence of data generated from the dynami...
Tzu-Kuo Huang, Le Song, Jeff Schneider
156
Voted
NIPS
2000
15 years 5 months ago
A Neural Probabilistic Language Model
A goal of statistical language modeling is to learn the joint probability function of sequences of words in a language. This is intrinsically difficult because of the curse of dim...
Yoshua Bengio, Réjean Ducharme, Pascal Vinc...
131
Voted
IEEEVAST
2010
14 years 10 months ago
A visual analytics approach to model learning
The process of learning models from raw data typically requires a substantial amount of user input during the model initialization phase. We present an assistive visualization sys...
Supriya Garg, I. V. Ramakrishnan, Klaus Mueller
132
Voted
GECCO
2006
Springer
138views Optimization» more  GECCO 2006»
15 years 7 months ago
Does overfitting affect performance in estimation of distribution algorithms
Estimation of Distribution Algorithms (EDAs) are a class of evolutionary algorithms that use machine learning techniques to solve optimization problems. Machine learning is used t...
Hao Wu, Jonathan L. Shapiro