[PDF] Top 20 Goal Recognition in Incomplete STRIPS Domain Models
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Goal Recognition in Incomplete STRIPS Domain Models
... with incomplete domains mod- els using ORPG; second, a goal recognition heuristic for in- complete domain models that relies on landmarks; third, a dataset with thousands of ... See full document
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Goal Recognition over Nominal Models
... to goal and plan recognition as- sume that the domain model is both complete and cor- rect, relying on what we call actual ...hold in real-world, practical applications, where uncertainty on ... See full document
8
Robust Goal Recognition with Operator-Counting Heuristics
... of goal and plan recognition as planning algorithms as defined by Ram´ırez and Geffner [2009; ...higher recognition accuracy in our settings (and hence we chose it as a baseline), whereas the ... See full document
8
LSTM-Based Goal Recognition in Latent Space
... representation in latent space is amenable to automatically inducing a transition function γ from pairs of states under the assumption that state transitions corre- spond exactly to pairs of consecutive images ... See full document
9
Online Goal Recognition Combining Landmarks and Planning
... Goal recognition is the problem of recognizing the goal of an agent based on an incomplete sequence of observa- ...to goal recognition rely on a plan library describing the plans ... See full document
8
Goal Recognition in Latent Space
... representation in latent space is amenable to automatically inducing a transition function γ from pairs of states under the assumption that state transitions corre- spond exactly to pairs of consecutive images ... See full document
8
Online Probabilistic Goal Recognition over Nominal Models
... to goal and plan recognition assume that the domain model is both complete and correct, relying on what we call actual ...hold in real-world, practi- cal applications, where uncertainty on key ... See full document
7
Online Goal Recognition as Reasoning over Landmarks
... Goal recognition is the problem of recognizing the goal of an agent based on an incomplete sequence of observa- ...to goal recognition rely on a plan library describing the plans ... See full document
8
Landmark-Enhanced Heuristics for Goal Recognition in Incomplete Domain Models
... a goal from an initial state (Hoffmann, Porteous, and Sebastia ...rect domain models in the planning literature, we extend the landmark extraction algorithm of Hoffmann et ...al. in ... See full document
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Goal recognition over imperfect domain models
... low recognition time for most incom- plete planning domains and problems, taking at most ...all goal recognition problems, apart from IPC-Grid and Sokoban, which took substantial recognition ... See full document
137
VOICE RECOGNITION USING ARTIFICIAL NEURAL NETWORKS AND GAUSSIAN MIXTURE MODELS
... implemented in MySQL was used to store other information about the speakers so that additional information about a speaker could be retrieved from the database after ...sensitivity in a laboratory ... See full document
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Isolated Malay Digit Recognition Using Pattern Recognition Fusion of Dynamic Time Warping and Hidden Markov Models
... times in a sound sample the amplitude of the sound wave changes the sign by getting their ...included in the function that calculates zero crossing which is 10% of maximum ...energy in a sound at ... See full document
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Hearing preservation has become a goal in modern
... a goal in modern surgery for acoustic ...included in our protocol: 1-Total removal of the tumor, 2- intra-operative difficulties or complications, 3-immediate post-operative complications, 4- ... See full document
6
Noise-Robust Speaker Recognition using Reduced Multiconditional Gaussian Mixture Models
... Speaker Recognition (ASR) systems, based on Gaussian Mixture Models (GMMs) and using Mel Frequency Cepstral Coefficient (MFCC) parameters, have proven to be quite successful at identifying the author of a ... See full document
10
Slug flow models: feasible domain and sensitivity to input distributions
... domains. In particular, we show that the validity domains ob- tained through the independent classical approaches contain large re- gions where some mathematical operations and physical conditions are not ...that ... See full document
20
Publicações do PESC Info Cases: Integrating Use Cases and Domain Models
... mentioned in the previous section suggest a course to steer towards integration: the capture, while modeling with use cases and with the direct participation of stakeholders, of formally identifiable elements from ... See full document
22
Discrimination capacity in species distribution models depends on the representativeness of the environmental domain
... result in a loss of valuable information and lead to misleading ...bin in the plot. Relatively small or large sample sizes in certain bins could explain the discrimination values obtained, and very ... See full document
9
Damage detection in a benchmark structure using AR-ARX models and statistical pattern recognition
... variations. In these cases the index is masked by the unavoidable experimental ...errors. In general, methods based on statistical pattern recognition seem to be suitable under the conditions where ... See full document
11
О задаче оптимального гарантированного приведения динамической системы в целевую точку в ограниченной области при неполной информации On the optimal guaranteed bringing problem of the dynamic systems to goal point in a limited domain with incomplete inf
... [r] ... See full document
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