32 search results - page 5 / 7 » Hierarchical Incremental Class Learning with Reduced Pattern... |
86
Voted
NPL
2006
14 years 9 months ago
2006
The authors previously proposed a self-organizing Hierarchical Cerebellar Model Articulation Controller (HCMAC) neural network containing a hierarchical GCMAC neural network and a ...
97
Voted
ICML
2000
IEEE
15 years 10 months ago
2000
IEEE
We present a framework for learning features for visual discrimination. The learning system is exposed to a sequence of training images. Whenever it fails to recognize a visual co...
87
Voted
DAGSTUHL
2007
14 years 11 months ago
2007
The ways in which an agent’s actions affect the world can often be modeled compactly using a set of relational probabilistic planning rules. This paper addresses the problem of ...
IJCNN
2006
IEEE
15 years 3 months ago
2006
IEEE
— In connectionist learning, one relevant problem is “catastrophic forgetting” that may occur when a network, trained with a large set of patterns, has to learn new input pat...
ICPR
2004
IEEE
15 years 10 months ago
2004
IEEE
The prediction of protein secondary structure is a classical problem in bioinformatics, and in the past few years several machine learning techniques have been proposed to t. From...