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2,440
Learning to predict by the methods of temporal differences
- MACHINE LEARNING
, 1988
"... This article introduces a class of incremental learning procedures specialized for prediction – that is, for using past experience with an incompletely known system to predict its future behavior. Whereas conventional prediction-learning methods assign credit by means of the difference between predi ..."
Abstract
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Cited by 1521 (56 self)
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predicted and actual outcomes, the new methods assign credit by means of the difference between temporally successive predictions. Although such temporal-difference methods have been used in Samuel's checker player, Holland's bucket brigade, and the author's Adaptive Heuristic Critic
Predicting Internet Network Distance with Coordinates-Based Approaches
- In INFOCOM
, 2001
"... In this paper, we propose to use coordinates-based mechanisms in a peer-to-peer architecture to predict Internet network distance (i.e. round-trip propagation and transmission delay) . We study two mechanisms. The first is a previously proposed scheme, called the triangulated heuristic, which is bas ..."
Abstract
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Cited by 631 (6 self)
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In this paper, we propose to use coordinates-based mechanisms in a peer-to-peer architecture to predict Internet network distance (i.e. round-trip propagation and transmission delay) . We study two mechanisms. The first is a previously proposed scheme, called the triangulated heuristic, which
Minimizing conflicts: a heuristic repair method for constraint satisfaction and scheduling problems
- ARTIF. INTELL
, 1992
"... This paper describes a simple heuristic approach to solving large-scale constraint satisfaction and scheduling problems. In this approach one starts with an inconsistent assignment for a set of variables and searches through the space of possible repairs. The search can be guided by a value-orderin ..."
Abstract
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Cited by 457 (6 self)
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This paper describes a simple heuristic approach to solving large-scale constraint satisfaction and scheduling problems. In this approach one starts with an inconsistent assignment for a set of variables and searches through the space of possible repairs. The search can be guided by a value
GroupLens: An Open Architecture for Collaborative Filtering of Netnews
, 1994
"... Collaborative filters help people make choices based on the opinions of other people. GroupLens is a system for collaborative filtering of netnews, to help people find articles they will like in the huge stream of available articles. News reader clients display predicted scores and make it easy for ..."
Abstract
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Cited by 1548 (41 self)
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for users to rate articles after they read them. Rating servers, called Better Bit Bureaus, gather and disseminate the ratings. The rating servers predict scores based on the heuristic that people who agreed in the past will probably agree again. Users can protect their privacy by entering ratings under
Fast Folding and Comparison of RNA Secondary Structures (The Vienna RNA Package)
"... Computer codes for computation and comparison of RNA secondary structures, the Vienna RNA package, are presented, that are based on dynamic programming algorithms and aim at predictions of structures with minimum free energies as well as at computations of the equilibrium partition functions and bas ..."
Abstract
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Cited by 809 (117 self)
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Computer codes for computation and comparison of RNA secondary structures, the Vienna RNA package, are presented, that are based on dynamic programming algorithms and aim at predictions of structures with minimum free energies as well as at computations of the equilibrium partition functions
TABU SEARCH
"... Tabu Search is a metaheuristic that guides a local heuristic search procedure to explore the solution space beyond local optimality. One of the main components of tabu search is its use of adaptive memory, which creates a more flexible search behavior. Memory based strategies are therefore the hallm ..."
Abstract
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Cited by 822 (48 self)
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Tabu Search is a metaheuristic that guides a local heuristic search procedure to explore the solution space beyond local optimality. One of the main components of tabu search is its use of adaptive memory, which creates a more flexible search behavior. Memory based strategies are therefore
HEURISTIC PREDICTIVE PATH SEARCH IN A PHYSICAL PUZZLE
"... This paper presents a few heuristic path search algorithms to solve a physical puzzle consisting of 3D maze and a marble, simulated in a physically accurate environment. An intelligent agent must move the marble to a target cell by rotating the maze itself. The physical nature of the puzzle provides ..."
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This paper presents a few heuristic path search algorithms to solve a physical puzzle consisting of 3D maze and a marble, simulated in a physically accurate environment. An intelligent agent must move the marble to a target cell by rotating the maze itself. The physical nature of the puzzle
Integration of the cognitive and the psychodynamic unconscious
- American Psychologist
, 1994
"... Cognitive-experiential self-theory integrates the cognitive and the psychodynamic unconscious by assuming the ex-istence of two parallel, interacting modes of information processing: a rational system and an emotionally driven experiential system. Support for the theory is provided by the convergenc ..."
Abstract
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Cited by 477 (1 self)
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—and by laboratory research, including the prediction of new phenomena in heuristic reasoning. N early 100 years ago, Freud introduced a dualtheory of information processing that placeddeviant behavior squarely in the realm of the natural sciences and, more particularly, in psychology.
1 An Empirical Test of Efficient Markets: A Heuristic Predictive Model
"... Efficient market theory, due to the global financial crisis, is being intensely questioned and debated at the highest levels of academic finance. It is generally agreed that market systemic risk is increasing and a “systemic risk regulator ” is required to manage the overall risk in the financial sy ..."
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. Splitting the data shows that systemic risk is increasing. This research explains how the stock market can be beaten over the long term and answers investors ’ number one asset management question. Key Words: efficient markets; stock market heuristic predictive model; systemic risk; global financial crisis
Control of Systems Integrating Logic, Dynamics, and Constraints
- Automatica
, 1998
"... This paper proposes a framework for modeling and controlling systems described by interdependent physical laws, logic rules, and operating constraints, denoted as Mixed Logical Dynamical (MLD) systems. These are described by linear dynamic equations subject to linear inequalities involving real and ..."
Abstract
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Cited by 413 (50 self)
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and integer variables. MLD systems include constrained linear systems, finite state machines, some classes of discrete event systems, and nonlinear systems which can be approximated by piecewise linear functions. A predictive control scheme is proposed which is able to stabilize MLD systems on desired
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