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ESANN
2008
15 years 8 months ago
Word recognition and incremental learning based on neural associative memories and hidden Markov models
Abstract. An architecture for achieving word recognition and incremental learning of new words in a language processing system is presented. The architecture is based on neural ass...
Zöhre Kara Kayikci, Günther Palm
GAMEON
2001
15 years 8 months ago
A Learning Architecture for the Game of Go
In this paper, a three-component architecture of a learning environment for Go is sketched, which can be applied to any two-player, deterministic, full information, partizan, comb...
A. B. Meijer
CVIU
2004
132views more  CVIU 2004»
15 years 6 months ago
Layered representations for learning and inferring office activity from multiple sensory channels
We present the use of layered probabilistic representations for modeling human activities, and describe how we use the representation to do sensing, learning, and inference at mul...
Nuria Oliver, Ashutosh Garg, Eric Horvitz
ICRA
2010
IEEE
116views Robotics» more  ICRA 2010»
15 years 5 months ago
Parameterized maneuver learning for autonomous helicopter flight
Abstract— Many robotic control tasks involve complex dynamics that are hard to model. Hand-specifying trajectories that satisfy a system’s dynamics can be very time-consuming a...
Jie Tang, Arjun Singh, Nimbus Goehausen, Pieter Ab...
ACL
2009
15 years 4 months ago
Paraphrase Recognition Using Machine Learning to Combine Similarity Measures
This paper presents three methods that can be used to recognize paraphrases. They all employ string similarity measures apshallow abstractions of the input sentences, and a Maximu...
Prodromos Malakasiotis