Christian Igel and Kumar Chellapilla

Operator Adaptation in Evolutionary Computation and itsAppli ation to Stru ture Optimization of Neural Networks

Computers beat Humans at Single Character Recognition in Reading based Human Interaction Proofs (HIPs)

Human interaction proofs (HIPs) have become commonplace on the internet for protecting free online services from abuse by automated scripts/bots. They are challenges designed to be easily solved by humans, while remaining too hard for computers to solve. Reading based HIPs comprise a segmentation problem and one or more recognition problems. Recent studies have shown that computers are better a...

Neuroevolution strategies for episodic reinforcement learning

Article history: Received 30 April 2009 Available online xxxx

Solitary Fibrous Tumor of Nasal Cavity:A Case Report

Introduction: Solitary fibrous tumours (SFTs) of the nose and paranasal sinuses are extremely rare.These were originally described as neoplasms of the pleura originating from spindle cells. It is further sub-classified as a benign type of mesothelial tumour. Its occurrence in many extra pleural sites have been reported earlier, mainly in the liver, parapharyngeal space, sublingual glands, tongu...

Reinforcement learning in a nutshell

We provide a concise introduction to basic approaches to reinforcement learning from the machine learning perspective. The focus is on value function and policy gradient methods. Some selected recent trends are highlighted.