ISNN
2007
Springer
14 years 5 months ago
2007
Springer
In this paper, a space partition method called “Label Constrained Graph Partition” (LCGP) is presented to solve the Sample-InterweavingPhenomenon in the original space. We firs...
ISNN
2007
Springer
14 years 5 months ago
2007
Springer
In the human mind, high-order knowledge is categorically organized, yet the nature of its internal representation system is not well understood. While it has been traditionally con...
ISNN
2007
Springer
14 years 5 months ago
2007
Springer
Abstract. Compared to normal learning algorithms, for example backpropagation, the optimal bounded ellipsoid (OBE) algorithm has some better properties, such as faster convergence,...
ISNN
2007
Springer
14 years 5 months ago
2007
Springer
Manifold learning algorithms have been proven to be capable of discovering some nonlinear structures. However, it is hard for them to extend to test set directly. In this paper, a ...
ISNN
2007
Springer
14 years 5 months ago
2007
Springer
ISNN
2007
Springer
14 years 5 months ago
2007
Springer
Modeling for the ball mill grinding process is still an imperative but difficult problem for the optimal control of mineral processing industry. Due to the integrated complexities ...
ISNN
2007
Springer
14 years 5 months ago
2007
Springer
The paper presents a pattern-oriented agent-based model to simulate the dynamics of a stock market. The model generates satisfactory market macro-level trend and volatility while t...
ISNN
2007
Springer
14 years 5 months ago
2007
Springer
This paper proposes novel hierarchical self-organizing associative memory architecture for machine learning. This memory architecture is characterized with sparse and local interco...
ISNN
2007
Springer
14 years 5 months ago
2007
Springer
Abstract. In this paper, we propose a probabilistic approach to feature selection for multi-class text categorization. Specifically, we regard document class and occurrence of eac...
ISNN
2007
Springer
14 years 5 months ago
2007
Springer
A novel online dynamic value system for machine learning is proposed in this paper. The proposed system has a dual network structure: data processing network (DPN) and information ...