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324
Graphical models for bandit problems
 In Proceedings of the 27th Conference on Uncertainty in Artificial Intelligence
, 2011
"... We introduce a rich class of graphical models for multiarmed bandit problems that permit boththestateorcontextspaceandtheaction space to be very large, yet succinctly specify the payoffs for any contextaction pair. Our main result is an algorithm for such models whose regret is bounded by the numb ..."
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Cited by 9 (2 self)
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We introduce a rich class of graphical models for multiarmed bandit problems that permit boththestateorcontextspaceandtheaction space to be very large, yet succinctly specify the payoffs for any contextaction pair. Our main result is an algorithm for such models whose regret is bounded
From frequency to meaning : Vector space models of semantics
 Journal of Artificial Intelligence Research
, 2010
"... Computers understand very little of the meaning of human language. This profoundly limits our ability to give instructions to computers, the ability of computers to explain their actions to us, and the ability of computers to analyse and process text. Vector space models (VSMs) of semantics are begi ..."
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Cited by 347 (3 self)
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are beginning to address these limits. This paper surveys the use of VSMs for semantic processing of text. We organize the literature on VSMs according to the structure of the matrix in a VSM. There are currently three broad classes of VSMs, based on term–document, word–context, and pair–pattern matrices
Weak pairwise correlations imply strongly correlated network states in a neural population.
, 2006
"... Biological networks have so many possible states that exhaustive sampling is impossible. Successful analysis thus depends on simplifying hypotheses, but experiments on many systems hint that complicated, higherorder interactions among large groups of elements have an important role. Here we show, ..."
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Cited by 191 (4 self)
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, in the vertebrate retina, that weak correlations between pairs of neurons coexist with strongly collective behaviour in the responses of ten or more neurons. We find that this collective behaviour is described quantitatively by models that capture the observed pairwise correlations but assume no higher
Behavioral theories and the neurophysiology of reward,
 Annu. Rev. Psychol.
, 2006
"... ■ Abstract The functions of rewards are based primarily on their effects on behavior and are less directly governed by the physics and chemistry of input events as in sensory systems. Therefore, the investigation of neural mechanisms underlying reward functions requires behavioral theories that can ..."
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Cited by 187 (0 self)
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the frequency of the behavior that results in reward. In Pavlovian, or classical, conditioning, the outcome follows the conditioned stimulus (CS) irrespective of any behavioral reaction, and repeated pairing of stimuli with outcomes leads to a representation of the outcome that is evoked by the stimulus
Tridiagonal pairs of
"... Let F denote an algebraically closed field with characteristic 0 and let V denote a vector space over F with finite positive dimension. Let A,A ∗ denote a tridiagonal pair on V with diameter d. We say that A,A ∗ has Krawtchouk type whenever the sequence {d − 2i}di=0 is a standard ordering of the eig ..."
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Let F denote an algebraically closed field with characteristic 0 and let V denote a vector space over F with finite positive dimension. Let A,A ∗ denote a tridiagonal pair on V with diameter d. We say that A,A ∗ has Krawtchouk type whenever the sequence {d − 2i}di=0 is a standard ordering
Nash QLearning for GeneralSum Stochastic Games
 JOURNAL OF MACHINE LEARNING RESEARCH
, 2003
"... We extend Qlearning to a noncooperative multiagent context, using the framework of generalsum stochastic games. A learning agent maintains Qfunctions over joint actions, and performs updates based on assuming Nash equilibrium behavior over the current Qvalues. This learning protocol provably conv ..."
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Cited by 138 (0 self)
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We extend Qlearning to a noncooperative multiagent context, using the framework of generalsum stochastic games. A learning agent maintains Qfunctions over joint actions, and performs updates based on assuming Nash equilibrium behavior over the current Qvalues. This learning protocol provably
Babero’s Hamiltonian derived from a generalized HilbertPalatini action
 Phys.Rev. D
, 1996
"... Barbero recently suggested a modification of Ashtekar’s choice of canonical variables for general relativity. Although leading to a more complicated Hamiltonian constraint this modified version, in which the configuration variable still is a connection, has the advantage of being real. In this artic ..."
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Cited by 104 (0 self)
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. In this article we derive Barbero’s Hamiltonian formulation from an action, which can be considered as a generalization of the ordinary HilbertPalatini action. In 1986 Ashtekar presented a new pair of canonical variables for the phase spase of general relativity [1]. These variables led to a much simpler
Effects of Magnetic Fields on String Pair Creation
, 2000
"... The rate of pair production of open strings in general uniform electromagnetic fields is calculated in various spacetime dimensions. The corrections with respect to the case of pure electric backgrounds are displayed. In particular, a contribution in the form of a BornInfeld action is derived and ..."
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Cited by 2 (0 self)
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The rate of pair production of open strings in general uniform electromagnetic fields is calculated in various spacetime dimensions. The corrections with respect to the case of pure electric backgrounds are displayed. In particular, a contribution in the form of a BornInfeld action is derived
Exploring Action Dynamics as an Index of Paired Associate Learning
, 2007
"... Much evidence exists supporting a richer interaction between cognition and action than commonly assumed. Such findings demonstrate that shorttimescale processes, such as motor execution, may relate in systematic ways to longertimescale cognitive processes, such as learning. We further substantiate ..."
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substantiate one direction of this interaction: the flow of cognition into action systems. Two experiments explored matchtosample pairedassociate learning, in which participants learned randomized pairs of unfamiliar symbols. During the experiments, their hand movements were continuously tracked using
Vacuum Instability and Pair Nucleation in a Dissipative Medium
, 2008
"... We present a systematic and unifying treatment of the problem of spontaneous nucleation of particleantiparticle pairs in a (2+1)dimensional system due to a static and uniform electromagneticlike field, in the presence of quantum dissipation. We first describe a direct derivation of the CaldeiraL ..."
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Leggett type of mechanism for quantum dissipation within the context of string theory and of the ensuing BornInfeld action, pointing out the difference with the physical context in which vacuum decay can occur. We then evaluate the particleantiparticle pair production rate, working out all the details
Results 1  10
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324