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International Conference on Machine Learning

Known as: ICML 
The International Conference on Machine Learning (ICML) is the leading international academic conference in machine learning, attracting annually… 
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Adversarial machine learningCo-trainingDecision stumpECML PKDD

Papers overview

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2017
2017
Proceedings of the 2017 ICML Workshop on Human Interpretability in Machine Learning (WHI 2017)
This is the Proceedings of the 2017 ICML Workshop on Human Interpretability in Machine Learning (WHI 2017), which was held in… 
2016
2016
Lifelong Transfer Learning for Heterogeneous Teams of Agents in Sequential Decision Processes
Abstract : Transferring knowledge from prior experience to a new problem is a key characteristic of human intelligence, enabling… 
2013
2013
Principled Non-Linear Feature Selection
Recent non-linear feature selection approaches employing greedy optimisation of Centred Kernel Target Alignment(KTA) exhibit… 
2010
2010
10 Years of Data Mining Research: Retrospect and Prospect
  • Xindong Wu
  • IEEE International Conference on Data Mining
  • 2010
  • Corpus ID: 33993976
Since its first meeting in 2001, the IEEE International Conference on Data Mining (ICDM) has established itself as the world's… 
2010
2010
Bayesian Credibility Modeling for Personalized Recommendation in Participatory Media
In this paper, we focus on the challenge that users face in processing messages on the web posted in participatory media settings… 
2007
2007
Shine: search heterogeneous interrelated entities
Heterogeneous entities or objects are very common and are usually interrelated with each other in many scenarios. For example… 
2004
2004
DAMAS-Rescue Description Paper
In this paper, we describe DAMAS-Rescue, a team of agents participating in the RoboCupRescue simulation competition. In the fol… 
2004
2004
DIMENSIONALITY REDUCTION TECHNIQUES FOR SEARCH RESULTS CLUSTERING
Search results clustering is an attempt to automatically organise a linear list of document references returned by a search… 
2003
2003
CMAC : RECONSIDERING AN OLD NEURAL NETWORK
Cerebellar Model Articulation Controller (CMAC) has some attractive features: fast learning capability and the possibility of… 
1994
1994
Planning under Uncertainty by Spreading Activation through an Adaptive Probabilistic Network
As robotics and automation are applied to unstructured environments such as those in the service sector, researchers have to…