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KDD
2004
ACM
196views Data Mining» more  KDD 2004»
14 years 7 months ago
Adversarial classification
Essentially all data mining algorithms assume that the datagenerating process is independent of the data miner's activities. However, in many domains, including spam detectio...
Nilesh N. Dalvi, Pedro Domingos, Mausam, Sumit K. ...
PRIB
2010
Springer
192views Bioinformatics» more  PRIB 2010»
13 years 5 months ago
Structured Output Prediction of Anti-cancer Drug Activity
We present a structured output prediction approach for classifying potential anti-cancer drugs. Our QSAR model takes as input a description of a molecule and predicts the activity...
Hongyu Su, Markus Heinonen, Juho Rousu
SIGMOD
2006
ACM
131views Database» more  SIGMOD 2006»
14 years 7 months ago
An automatic construction and organization strategy for ensemble learning on data streams
As data streams are gaining prominence in a growing number of emerging application domains, classification on data streams is becoming an active research area. Currently, the typi...
Yi Zhang, Xiaoming Jin
AAAI
2010
13 years 8 months ago
Activity and Gait Recognition with Time-Delay Embeddings
Activity recognition based on data from mobile wearable devices is becoming an important application area for machine learning. We propose a novel approach based on a combination ...
Jordan Frank, Shie Mannor, Doina Precup
ICRA
2010
IEEE
137views Robotics» more  ICRA 2010»
13 years 5 months ago
Robot reinforcement learning using EEG-based reward signals
Abstract— Reinforcement learning algorithms have been successfully applied in robotics to learn how to solve tasks based on reward signals obtained during task execution. These r...
Iñaki Iturrate, Luis Montesano, Javier Ming...