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KDD
2005
ACM
153views Data Mining» more  KDD 2005»
14 years 8 months ago
Improving discriminative sequential learning with rare--but--important associations
Discriminative sequential learning models like Conditional Random Fields (CRFs) have achieved significant success in several areas such as natural language processing, information...
Xuan Hieu Phan, Minh Le Nguyen, Tu Bao Ho, Susumu ...
AINA
2009
IEEE
14 years 2 months ago
Toward fMRI Group Identification Based on Brain Lateralization
— This research presents a novel application of Lateralization Index (LI) in support of a decision making process for the classification of subjects based on their brain activati...
Magno R. Guillen, Malek Adjouadi, Xiaozhen You, Ar...
GIS
2010
ACM
13 years 6 months ago
Investigation of aggregation effects in vegetation condition monitoring at a national scale
Monitoring vegetation condition is an important issue in the Mediterranean region, in terms of both securing food and preventing fires. Vegetation indices (VIs), mathematical tran...
T. K. Alexandridis, T. Katagis, I. Z. Gitas, N. G....
ANLP
1994
103views more  ANLP 1994»
13 years 9 months ago
Exploiting Sophisticated Representations for Document Retrieval
The use of NLP techniques for document classification has not produced significant improvements in performance within the standard term weighting statistical assignment paradigm (...
Steven Finch
BMCBI
2007
141views more  BMCBI 2007»
13 years 8 months ago
A novel approach to detect hot-spots in large-scale multivariate data
Background: Progressive advances in the measurement of complex multifactorial components of biological processes involving both spatial and temporal domains have made it difficult...
Jianhua Wu, Keith M. Kendrick, Jianfeng Feng