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» Evaluating learning algorithms and classifiers
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MLCW
2005
Springer
14 years 2 months ago
The 2005 PASCAL Visual Object Classes Challenge
The PASCAL Visual Object Classes Challenge ran from February to March 2005. The goal of the challenge was to recognize objects from a number of visual object classes in realistic s...
Mark Everingham, Andrew Zisserman, Christopher K. ...
FLAIRS
2010
13 years 11 months ago
Gamed-Based iSTART Practice: From MiBoard to Self-Explanation Showdown
MiBoard (Multiplayer Interactive Board Game) is an online, turnbased board game that was developed to assess the integration of game characteristics (point rewards, game-like inte...
Justin F. Brunelle
ICML
2010
IEEE
13 years 9 months ago
Feature Selection Using Regularization in Approximate Linear Programs for Markov Decision Processes
Approximate dynamic programming has been used successfully in a large variety of domains, but it relies on a small set of provided approximation features to calculate solutions re...
Marek Petrik, Gavin Taylor, Ronald Parr, Shlomo Zi...
ICASSP
2010
IEEE
13 years 9 months ago
Semi-Supervised Fisher Linear Discriminant (SFLD)
Supervised learning uses a training set of labeled examples to compute a classifier which is a mapping from feature vectors to class labels. The success of a learning algorithm i...
Seda Remus, Carlo Tomasi
PKDD
2010
Springer
122views Data Mining» more  PKDD 2010»
13 years 7 months ago
Exploration in Relational Worlds
Abstract. One of the key problems in model-based reinforcement learning is balancing exploration and exploitation. Another is learning and acting in large relational domains, in wh...
Tobias Lang, Marc Toussaint, Kristian Kersting