The Association for the Advancement of Artificial Intelligence (AAAI) presented the 2010 Fall Symposium Series on November 11-13, 2010. The eight symposia included Cognitive and Metacognitive Educational systems, Comm...
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The Association for the Advancement of Artificial Intelligence (AAAI) presented the 2010 Fall Symposium Series on November 11-13, 2010. The eight symposia included Cognitive and Metacognitive Educational systems, Commonsense Knowledge, Complex Adaptive systems: Resilience, Robustness, and Evolvability, Computational Models of Narrative, Dialog with Robots, Manifold Learning and Its Applications, Proactive Assistant Agents and Quantum Informatics for Cognitive, Social, and Semantic Processes. Cognitive and Metacognitive Educational systems aimed to provide a comprehensive definition of metacognitive educational systems that is inclusive of the theoretical, architectural, and educational aspects of this field. The AAAI Commonsense Knowledge Fall Symposium had the goal of bringing together the diverse elements of this community whose work benefits from or contributes to the representation of general knowledge about the world. One of the specific goals of Proactive symposium was to gather the researchers from various projects in assistant agents to share their wisdom in retrospect.
We derive an instantaneous (per-round) data-dependent regret bound for stochastic multiarmed bandits with side information (also known as contextual bandits). pThe scaling of our regret bound with the number of states...
ISBN:
(纸本)9781618395993
We derive an instantaneous (per-round) data-dependent regret bound for stochastic multiarmed bandits with side information (also known as contextual bandits). pThe scaling of our regret bound with the number of states (contexts) N goes as √NIpt (S;A), where Ipt (S;A) is the mutual information between states and actions (the side information) used by the algorithm at round t. If the algorithm uses all the side information, the regret bound scales as √N lnK, where K is the number of actions (arms). However, if the side information Ipt (S;A) is not fully used, the regret bound is significantly tighter. In the extreme case, when Ipt (S;A) = 0, the dependence on the number of states reduces from linear to logarithmic. Our analysis allows to provide the algorithm large amount of side information, let the algorithm to decide which side information is relevant for the task, and penalize the algorithm only for the side information that it is using de facto. We also present an algorithm for multiarmed bandits with side information with O(K) computational complexity per game round.
We propose a method to learn simultaneously a vector-valued function and a kernel between its components. The obtained kernel can be used both to improve learning performance and to reveal structures in the output spa...
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ISBN:
(纸本)9781450306195
We propose a method to learn simultaneously a vector-valued function and a kernel between its components. The obtained kernel can be used both to improve learning performance and to reveal structures in the output space which may be important in their own right. Our method is based on the solution of a suitable regularization problem over a reproducing kernel Hilbert space of vector-valued functions. Although the regularized risk functional is non-convex, we show that it is invex, implying that all local minimizers are global minimizers. We derive a block-wise coordinate descent method that efficiently exploits the structure of the objective functional. Then, we empirically demonstrate that the proposed method can improve classification accuracy. Finally, we provide a visual interpretation of the learned kernel matrix for some well known datasets. Copyright 2011 by the author(s)/owner(s).
Advanced computer technology has a potential power to completely change education style. Ubiquitous computing framework allows students to learn anywhere at any time. It also enables a teacher to electronically organi...
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Advanced computer technology has a potential power to completely change education style. Ubiquitous computing framework allows students to learn anywhere at any time. It also enables a teacher to electronically organize some materials on site and present them according to students' situation. In this paper, we describe an interactive teaching aid called Micro E-Board designed and implemented to solve some problems existing in currently available e-learning technology. The proposed system allows users to easily build an intuitive e-learning environment anywhere at any time based on mobile technology and prompts interactions between a teacher and students with a set of easy-to-use functions.
This paper presents a cascade system to reliably recognize traffic accidents using multi-sensor cooperation. The system is consisted of a MSN (Master Sensor Node) and number of SN (Sensor Node)s with both low cost DSP...
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This paper presents a cascade system to reliably recognize traffic accidents using multi-sensor cooperation. The system is consisted of a MSN (Master Sensor Node) and number of SN (Sensor Node)s with both low cost DSP and CCD. Each SN computes probabilities of accident with a set of images over time taken at different locations. Once more than one accident being reported, MSN is stimulated and conducts a synthetic decision making process with various information taken from each SN related to the accident. Experimental results show that the proposed cascade system drastically enhance reliability of traffic accident recognition and enables to be set in real environments.
We developed a wireless sensor network system for supporting context-awareness of nursing activities in hospitals. Our system is aimed at automated recording of nursing work, providing context-aware services to nurses...
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Using sonar sensors is one of the most popular sensing methods for mobile robots, since the sensor is inexpensive and will simply give distance information. However, in general, the sonar sensor has difficulty in meas...
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Using sonar sensors is one of the most popular sensing methods for mobile robots, since the sensor is inexpensive and will simply give distance information. However, in general, the sonar sensor has difficulty in measuring the accurate direction of object while it is used to avoid obstacles such as large boxes, walls and so on since it has a large angle of beam. Nevertheless, this paper proposes to use the sonar sensors for localizing other robots as well as detecting obstacles, and represents the simplest algorithm to obtain the relative information: heading angle, bearing angle and distance between the leader and follower. A control algorithm for keeping (d, φ)-formation is presented by obtaining linear and angular velocities of the follower robot.
Entity linking (EL) is the task of linking a textual named entity mention to a knowledge base entry. It is a difficult task involving many challenges, but the most crucial problem is entity ambiguity. Traditional EL a...
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<正>In this paper,we present the vibration control of a Timoshenko beam under the external unknown spatiotemporally varying distributed disturbance and time-varying boundary *** model of the Timoshenko beam extracte...
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<正>In this paper,we present the vibration control of a Timoshenko beam under the external unknown spatiotemporally varying distributed disturbance and time-varying boundary *** model of the Timoshenko beam extracted from a class of flexible systems is represented by a hybrid model including both nonhomogeneous partial differential equations(PDEs) and ordinary differential equations(ODEs).To suppress the vibration of the system and reduce the effects of the external disturbances,adaptive boundary control is proposed based on Lyapunov’s direct *** the proposed boundary control strategy,the states of the system are proven to be uniformly ultimately bounded and converge to a small neighborhood of zero by choosing the design *** simulations are shown to illustrate the effectiveness of the proposed adaptive boundary control.
This paper presents servo control for discrete-time nonlinear systems with constraints on inputs and states using the fuzzy model-based control approach. Firstly, the nonlinear error system is constructed based on err...
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