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Let X denote the feature and Y the target. We consider domain adaptation under three possible scenarios: (1) the marginal P Y changes, while the conditional P X|Y stays the same (target shift), (2) the marginal P Y is fixed, while the conditional P X|Y changes with certain constraints (conditional shift), and (3) the marginal P Y changes, and the(More)
Hong Jiang began his talk by discussing the importance of data recovery. Disk failures have become more common in RAID-structured storage systems. The improvement in disk capacity has far outpaced improvements in disk band-width, lengthening the overall RAID recovery time. Also, disk drive reliability has improved slowly, resulting in a very high overall(More)
Inositol polyphosphate kinase (IPK; EC 2.7.1.151) participates in inositol metabolism, calcium signaling, stress response, gene transcription and other physiological and biochemical processes. In the present work, ThIPK2 (an inositol polyphosphate kinase from Thellungiella halophila) was transferred into soybean through an Agrobacterium tumefaciens-mediated(More)
Opponent modeling is a critical mechanism in repeated games. It allows a player to adapt its strategy in order to better respond to the presumed preferences of his opponents. We introduce a new modeling technique that adaptively balances exploitability and risk reduction. An opponent's strategy is modeled with a set of possible strategies that contain the(More)
Intention inference can be an essential step toward efficient human-robot interaction. For this purpose, we propose the Intention-Driven Dynamics Model (IDDM) to probabilistically model the generative process of movements that are directed by the intention. The IDDM allows to infer the intention from observed movements using Bayes' theorem. The IDDM(More)
—Inference of human intention may be an essential step towards understanding human actions and is hence important for realizing efficient human-robot interaction. In this paper, we propose the Intention-Driven Dynamics Model (IDDM), a latent variable model for inferring unknown human intentions. We train the model based on observed human movements/actions.(More)
Playing table tennis is a difficult task for robots, especially due to their limitations of acceleration. A key bottleneck is the amount of time needed to reach the desired hitting position and velocity of the racket for returning the incoming ball. Here, it often does not suffice to simply extrapolate the ball's trajectory after the opponent returns it but(More)
Compared to constraint-based causal discovery, causal discovery based on functional causal models is able to identify the whole causal model under appropriate assumptions [Shimizu et al. 2006; Hoyer et al. 2009; Zhang and Hyvärinen 2009b]. Functional causal models represent the effect as a function of the direct causes together with an independent(More)
Now with a large lexicon of over 300 semantic concepts available for indexing purpose, video retrieval can be made easier by leveraging on the available semantic indices. However, any successful concept-based video retrieval approach must take the following into account: though improving continuously, these concept indexing results are still far from(More)