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AIPS
2008
13 years 6 months ago
What Makes Planners Predictable?
In recent work we showed that models constructed from planner performance data over a large suite of benchmark problems are surprisingly accurate; 91-99% accuracy for success and ...
Mark Roberts, Adele E. Howe, Brandon Wilson, Marie...
AAAI
2008
13 years 6 months ago
Zero-data Learning of New Tasks
We introduce the problem of zero-data learning, where a model must generalize to classes or tasks for which no training data are available and only a description of the classes or...
Hugo Larochelle, Dumitru Erhan, Yoshua Bengio
GECCO
2006
Springer
173views Optimization» more  GECCO 2006»
13 years 8 months ago
Pareto-coevolutionary genetic programming classifier
The conversion and extension of the Incremental ParetoCoevolution Archive algorithm (IPCA) into the domain of Genetic Programming classifier evolution is presented. In order to ac...
Michal Lemczyk, Malcolm I. Heywood
CICLING
2006
Springer
13 years 8 months ago
Improving kNN Text Categorization by Removing Outliers from Training Set
We show that excluding outliers from the training data significantly improves kNN classifier, which in this case performs about 10% better than the best know method--Centroid-based...
Kwangcheol Shin, Ajith Abraham, Sang-Yong Han
CIVR
2004
Springer
248views Image Analysis» more  CIVR 2004»
13 years 8 months ago
Automated Person Identification in Video
Abstract. We describe progress in the automatic detection and identification of humans in video, given a minimal number of labelled faces as training data. This is an extremely cha...
Mark Everingham, Andrew Zisserman
AUSDM
2007
Springer
102views Data Mining» more  AUSDM 2007»
13 years 8 months ago
A Two-Step Classification Approach to Unsupervised Record Linkage
Linking or matching databases is becoming increasingly important in many data mining projects, as linked data can contain information that is not available otherwise, or that woul...
Peter Christen
KDD
1998
ACM
101views Data Mining» more  KDD 1998»
13 years 8 months ago
Probabilistic Modeling for Information Retrieval with Unsupervised Training Data
We apply a well-known Bayesian probabilistic model to textual information retrieval: the classification of documents based on their relevance to a query. This model was previously...
Ernest P. Chan, Santiago Garcia, Salim Roukos
AI
1998
Springer
13 years 8 months ago
ELEM2: A Learning System for More Accurate Classifications
We present ELEM2, a new method for inducing classification rules from a set of examples. The method employs several new strategies in the induction and classification processes to ...
Aijun An, Nick Cercone
ICRA
1998
IEEE
105views Robotics» more  ICRA 1998»
13 years 8 months ago
PSOM Network: Learning with Few Examples
: Precise sensorimotor mappings between various motor, ensor, and abstract physical spaces are the basis for many robotics tasks. Their cheap construction is a challenge for adapti...
Jörg A. Walter
ICPR
2010
IEEE
13 years 8 months ago
Selection of Training Instances for Music Genre Classification
In this paper we present a method for the selection of training instances based on the classification accuracy of a SVM classifier. The instances consist of feature vectors repres...
Miguel Lopes, Fabien Gouyon, Alessandro Koerich, L...