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IDA
2010
Springer
14 years 10 months ago
A Data-Driven Paradigm to Understand Multimodal Communication in Human-Human and Human-Robot Interaction
Data-driven knowledge discovery is becoming a new trend in various scientific fields. In light of this, the goal of the present paper is to introduce a novel framework to study one...
Chen Yu, Thomas G. Smith, Shohei Hidaka, Matthias ...
ICDM
2006
IEEE
127views Data Mining» more  ICDM 2006»
15 years 5 months ago
Predictive Integration of Gene Ontology-Driven Similarity and Functional Interactions
There is a need to develop methods to automatically incorporate prior knowledge to support the prediction and validation of novel functional associations. One such important sourc...
Francisco Azuaje, Haiying Wang, Huiru Zheng, Olivi...
ICDM
2003
IEEE
148views Data Mining» more  ICDM 2003»
15 years 5 months ago
Inference of Protein-Protein Interactions by Unlikely Profile Pair
We note that a set of statistically “unusual” proteinprofile pairs in experimentally determined database of protein-protein interactions can typify protein-protein interaction...
Byung-Hoon Park, George Ostrouchov, Gong-Xin Yu, A...
KDD
2007
ACM
149views Data Mining» more  KDD 2007»
16 years 5 days ago
Partial example acquisition in cost-sensitive learning
It is often expensive to acquire data in real-world data mining applications. Most previous data mining and machine learning research, however, assumes that a fixed set of trainin...
Victor S. Sheng, Charles X. Ling
KDD
2004
ACM
126views Data Mining» more  KDD 2004»
16 years 5 days ago
High-throughput Protein Interactome Data: Minable or Not?
There is an emerging trend in post-genome biology to study the collection of thousands of protein interaction pairs (protein interactome) derived from high-throughput experiments....
Jake Yue Chen, Andrey Y. Sivachenko, Lang Li