716 search results - page 108 / 144 » Optimizing Sorting with Machine Learning Algorithms |
132
click to vote
ICML
2002
IEEE
16 years 2 months ago
2002
IEEE
Kernel-based learning algorithms work by embedding the data into a Euclidean space, and then searching for linear relations among the embedded data points. The embedding is perfor...
120
click to vote
EUROCAST
2007
Springer
15 years 8 months ago
2007
Springer
Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...
126
click to vote
ML
2008
ACM
15 years 1 months ago
2008
ACM
Significant changes in the instance distribution or associated cost function of a learning problem require one to reoptimize a previously-learned classifier to work under new cond...
CEC
2003
IEEE
15 years 7 months ago
2003
IEEE
Learning Deterministic Finite Automata (DFA) is a hard task that has been much studied within machine learning and evolutionary computation research. This paper presents a new met...
129
click to vote
ICDM
2010
IEEE
14 years 12 months ago
2010
IEEE
The growth of the web has directly influenced the increase in the availability of relational data. One of the key problems in mining such data is computing the similarity between o...