Sciweavers

986 search results - page 85 / 198
» Zero-data Learning of New Tasks
Sort
View
ICML
2009
IEEE
15 years 4 months ago
Feature hashing for large scale multitask learning
Empirical evidence suggests that hashing is an effective strategy for dimensionality reduction and practical nonparametric estimation. In this paper we provide exponential tail bo...
Kilian Q. Weinberger, Anirban Dasgupta, John Langf...
SIGCSE
2004
ACM
94views Education» more  SIGCSE 2004»
15 years 3 months ago
Enhancing apprentice-based learning of Java
Various methods have been proposed in the past to improve student learning by introducing new styles of working with assignments. These include problem-based learning, use of case...
Michael Kölling, David J. Barnes
AMS
2007
Springer
247views Robotics» more  AMS 2007»
15 years 4 months ago
Towards Machine Learning of Motor Skills
Autonomous robots that can adapt to novel situations has been a long standing vision of robotics, artificial intelligence, and cognitive sciences. Early approaches to this goal du...
Jan Peters, Stefan Schaal, Bernhard Schölkopf
CEC
2003
IEEE
15 years 3 months ago
Learning DFA: evolution versus evidence driven state merging
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...
Simon M. Lucas, T. Jeff Reynolds
GECCO
2010
Springer
184views Optimization» more  GECCO 2010»
15 years 2 months ago
Transfer learning through indirect encoding
An important goal for the generative and developmental systems (GDS) community is to show that GDS approaches can compete with more mainstream approaches in machine learning (ML)....
Phillip Verbancsics, Kenneth O. Stanley