165 search results - page 16 / 33 » Why Machine Ethics |
95
Voted
CEC
2005
IEEE
15 years 8 months ago
2005
IEEE
Abstract- Seeding the population of an evolutionary algorithm with solutions from previous runs has proved to be useful when learning control strategies for agents operating in a c...
135
Voted
NIPS
2003
15 years 3 months ago
2003
Recently, relevance vector machines (RVM) have been fashioned from a sparse Bayesian learning (SBL) framework to perform supervised learning using a weight prior that encourages s...
131
Voted
ICML
2010
IEEE
15 years 3 months ago
2010
IEEE
This paper studies the problem of learning from ambiguous supervision, focusing on the task of learning semantic correspondences. A learning problem is said to be ambiguously supe...
107
click to vote
ECTEL
2010
Springer
15 years 2 months ago
2010
Springer
As Technology Enhanced Learning (TEL) systems become more essential to education there is an increasing need for their creators to reduce risk and to design for success. We argue t...
115
Voted
ICMLA
2009
15 years 8 days ago
2009
For many ranking applications we would like to understand not only which items are top-ranked, but also why they are top-ranked. However, many of the best ranking algorithms (e.g....