arbiter 发表于 2025-3-28 14:35:12
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The Support Feature Machine for Classifying with the Least Number of Featuresnorm of a separating hyperplane. Thus, a classifier with inherent feature selection capabilities is obtained within a single training run. Results on toy examples demonstrate that this method is able to identify relevant features very effectively.Allure 发表于 2025-3-29 05:51:37
Hidden Markov Model for Human Decision Process in a Partially Observable Environmentartially observable environment, humans can make appropriate decision by resolving the uncertainty. During decision making in an uncertain environment, resolving behaviors of the uncertainty and optimal behaviors to best suit for the environment are often incompatible, which is termed exploration-exsleep-spindles 发表于 2025-3-29 11:13:07
Representing, Learning and Extracting Temporal Knowledge from Neural Networks: A Case Study Intelligence. Temporal models are fundamental to describe the behaviour of computing and information systems. In addition, acquiring the description of the desired behaviour of a system is a complex task in several AI domains. In this paper, we evaluate a neural framework capable of adapting temporosteopath 发表于 2025-3-29 12:21:02
Multi-Dimensional Deep Memory Atari-Go Players for Parameter Exploring Policy Gradientsame of Go, which, despite its deceivingly simple rules, has eluded the development of artificial expert players. In this paper we attempt to tackle this challenge through a combination of two recent developments in Machine Learning. We employ Multi-Dimensional Recurrent Neural Networks with Long Sho逃避责任 发表于 2025-3-29 17:32:20
Layered Motion Segmentation with a Competitive Recurrent Networkthat are governed by affine motion patterns. Using an energy-based competitive multilayer architecture based on non-negative activations and multiplicative update rules, we show how the network can perform segmentation tasks that require a combination of affine estimation with local integration andVOC 发表于 2025-3-29 23:44:14
http://reply.papertrans.cn/17/1627/162698/162698_48.pngrefraction 发表于 2025-3-30 00:07:59
http://reply.papertrans.cn/17/1627/162698/162698_49.png者变 发表于 2025-3-30 04:06:24
A Computational System of Metaphor Generation with Evaluation Mechanismrical expression of the form “target (A) like vehicle (B)”. A computational system consisting of a metaphor generation process and a metaphor evaluation process is developed. In the metaphor generation process, a metaphor generation model outputs candidate nouns for vehicles from input expressio