We present a new class of perceptron-like algorithms with margin in which the "effective" learning rate, defined as the ratio of the learning rate to the length of the we...
Learning vector quantization (LVQ) constitutes a powerful and intuitive method for adaptive nearest prototype classification. However, original LVQ has been introduced based on he...
People use a wide range of intensity when interacting with computers, spanning from subtle to brute force. However, computer interfaces so far have mainly focused on interactions ...
Florian Mueller, Stefan Agamanolis, Frank Vetere, ...
Relevance-based language models operate by estimating the probabilities of observing words in documents relevant (or pseudo relevant) to a topic. However, these models assume that ...
Hash functions have a space complexity of O(n) and a possible time complexity of O(1). Thus, packet classifiers exploit hashing to achieve packet classification in wire speed. Esp...