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20 Feb 2018: In Section 3, the grid-based ap-. proach to policy optimisation is introduced followedby a presentation of the k-nn Monte-Carlo policy op-timization in Section 4, along with an ... 5 ConclusionIn this paper, an extension to a grid-based policy

13 Mar 2018: PQ. RRSST>TU>U VWX>XY>YZ>Z[] >_ >abc. d>defg hi jk. l>lm. n>no>op>pq. rs ttuu.

15 Jun 2018: In standard systems this issue would be addressed by op-timising the language model scale factor.

20 Feb 2018: 5]. Here, we address the problem ofdecision-making. Moving from a limited domain dialogue system that op-erates on a relatively modest ontology to an open domain. ... 5. EXPERIMENTAL SET-UP. In order to examine the ability of the proposed method to

13 Mar 2018: Performance. By observing feedback from the robot, the op- erator is able to position the gripper to within lcm: sufficient accuracy to instruct it to pick up n small wootlcn Ilock

20 Feb 2018: 4.4 Conversational patterns. Given that the subjects felt the change of cognitiveload when they were talking to the system and op-erating the car simulator at the same time, we

20 Feb 2018: The op-tions for each random decision point are reason-able in the context in which it is encountered, buta uniform distribution of outcomes might not re-flect real user behaviour. ... Many of the decisions involvedare deterministic, allowing only one

20 Feb 2018: The ex-perimental results show that the policy op-timised in a restaurant search domain us-ing our domain-independent representa-tions can be deployed to a laptop sale do-main,

20 Feb 2018: the Q-function estimatewe expect during the process of learning and H is a linear op-erator that captures the reward lookahead from the Q-function(see Eq.

20 Feb 2018: increases. Pop op-erations are then performed where possible, the tree is prunedand identical nodes are joined so that the number stays constantor decreases. ... Error bars indicate 99% con-fidence intervals. This demonstrates the competitiveness of the

20 Feb 2018: A comparison between the three op-tions is included in the experimental evaluation. ... whilst suffering initially.We hypothesise that the optimised SL pre-trainedparameters distributed very differently to the op-timal A2C ER parameters.

13 Mar 2018: PQ. RRSST>TU>U VWX>XY>YZ>Z[] >_ >abc. d>defg hi jk. l>lm. n>no>op>pq. rs ttuu.

15 Jun 2018: As described in Section 4 interpolation weights can be op-timised alternatively by maximising the average mapped con-fidence score on the VWB data.

13 Mar 2018: Performance. By observing feedback from the robot, the op- erator is able to position the gripper to within lcm: sufficient accuracy to instruct it to pick up n small wootlcn Ilock

13 Mar 2018: 22WVlA = -V2U. (4). Here V and V2 are dimensionless projection op-erators involving combinations of projections intoimage and surface tangent planes.

20 Feb 2018: 4.2 Log-Linear Interpolation. Log-linear interpolation has been applied to languagemodel adaptation and has been shown to be equivalentto a constrained minimum Kullback-Leibler distance op-timisation problem(Klakow,

20 Feb 2018: By op-timising directly against the desired objective func-tion such as BLEU score (Auli and Gao, 2014) orWord Error Rate (Kuo et al., 2002), the model canexplore its output space

20 Feb 2018: Hence defining an op-timal summary policy is not so obvious. If f is chosenwell, however, then one could hope that the optimal ac-tion is dependent only on f (b).

13 Mar 2018: 22WVlA = -V2U. (4). Here V and V2 are dimensionless projection op-erators involving combinations of projections intoimage and surface tangent planes.

20 Feb 2018: However,approx-imate solutions can still provide useful policies. The simplest ap-proach is to discretise belief space and then use standard MDP op-timisation methods [6].

20 Feb 2018: S. sn. nsbsb. 1. )()(maxargˆ)( υππ (16). Thus the value-function method provides both a parti-tioning of belief space into regions corresponding to op-timal actions as well as the

20 Feb 2018: Thisprovides increased robustness to errors in speechunderstanding and automatic dialogue policy op-timisation via reinforcement learning (Roy et al.,2000; Zhang et al., 2001; Williams and Young,2007; Young et al.,

13 Mar 2018: engineering or graph op-timisation. ... This demonstrates that learning with the op-timum scale factor leads to the convnet uncovering a more accuratepose function.

13 Mar 2018: The tworight columns show the update actions whichmust be performed for the desired tracking op-eration.

13 Mar 2018: The reconstructed surface is obtained by solving the op-timisation. Smin = arg minSC. ... Ourmethod has no concept of a current surface during the op-timisation phase, and therefore has to make the visibilityassumption of section 3.

13 Mar 2018: "!# $%& %'()#,&-##)./10324 56&-786&9: ;#<: =;#: >?@-<;A66"B9: ;#<: =;#: >? C<DFEGHIJBGKMLONQPLSRLTU(VQLP LXWZYQ[&R]ARR[&T_T_UVALO]QRLOBaNFLPSL=NQU ]bWBcdP ]QNA[eTAdfUf[&ghNQPBiLRU P]QSU]QP LjWBTQYhLdghU[&ThPLBiLP kXWlc&dP

15 Jun 2018: Online]. Available: http://tensorflow.org/. [28] D. P. Kingma and J. Ba, “Adam: A Method for Stochastic Op-timization,” in Proc.

20 Feb 2018: NFp;. 2where Q is the set of all phone models and NF(p)the number of frames in the acoustic segment Op. ... Hence, the denominator score is de-termined by simply summing the log likelihood perframe over the duration of Op.

20 Feb 2018: This Gaussian process op-erates on a continuous space dialogue rep-resentation generated in an unsupervisedfashion using a recurrent neural networkencoder-decoder.

20 Feb 2018: Recent workby Graves et al. (2014) has demonstrated that anNN structure augmented with a carefully designedmemory block and differentiable read/write op-erations can learn to mimic computer programs.Moreover, the

20 Feb 2018: On-line active reward learning for policy op-timisation in spoken dialogue systems.

13 Mar 2018: The tworight columns show the update actions whichmust be performed for the desired tracking op-eration.

13 Mar 2018: If the angles of the epipolar lines had op-posite signals in respect the horizontal axis, the points putunder correspondence by the epipolar geometry would be atopposite places in the bottom

13 Mar 2018: This op- timisation takes into account image gradient in- formation and modifies image point coordinates in order t o position primitive edges along image edges.

13 Mar 2018: Now the problem of finding an op-timal replacement of pixels in patch p′ from those in patch m′ is equivalent to finding apath in the graph such that the error

13 Mar 2018: This goal is achieved by solving an op-timization problem by numerical techniques, searching di-rectly for the intrinsic parameters of the cameras, instead ofthe indirect search performed by the algorithms

13 Mar 2018: The reconstructed surface is obtained by solving the op-timisation. Smin = arg minSC. ... Ourmethod has no concept of a current surface during the op-timisation phase, and therefore has to make the visibilityassumption of section 3.

13 Mar 2018: engineering or graph op-timisation. ... This demonstrates that learning with the op-timum scale factor leads to the convnet uncovering a more accuratepose function.

13 Mar 2018: "!# $%& %'()#,&-##)./10324 56&-786&9: ;#<: =;#: >?@-<;A66"B9: ;#<: =;#: >? C<DFEGHIJBGKMLONQPLSRLTU(VQLP LXWZYQ[&R]ARR[&T_T_UVALO]QRLOBaNFLPSL=NQU ]bWBcdP ]QNA[eTAdfUf[&ghNQPBiLRU P]QSU]QP LjWBTQYhLdghU[&ThPLBiLP kXWlc&dP

13 Mar 2018: engineering or graph op-timisation. ... This demonstrates that learning with the op-timum scale factor leads to the convnet uncovering a more accuratepose function.

13 Mar 2018: Hand Tracking Using A Quadric Surface Model. R. Cipolla1 B. Stenger1 A. Thayananthan1 P. H. S. Torr2. 1 University of Cambridge, Department of Engineering, Trumpington Street,Cambridge, CB2 1PZ, UK. 2 Microsoft Research Ltd., 7 J J Thomson Ave,

13 Mar 2018: Having maximised the likelihood of each primitive, amodel selection criterion is used to decide whether the op-tional parameters A?

13 Mar 2018: This goal is achieved by solving an op-timization problem by numerical techniques, searching di-rectly for the intrinsic parameters of the cameras, instead ofthe indirect search performed by the algorithms

13 Mar 2018: Filtering Using a Tree-Based Estimator. B. Stenger A. Thayananthan P. H. S. Torr† R. Cipolla. University of Cambridge † Microsoft Research Ltd.Department of Engineering 7 JJ Thompson AvenueCambridge, CB2 1PZ, UK Cambridge, CB3 OFB, UK.

13 Mar 2018: Hand Tracking Using A Quadric Surface Model. R. Cipolla1 B. Stenger1 A. Thayananthan1 P. H. S. Torr2. 1 University of Cambridge, Department of Engineering, Trumpington Street,Cambridge, CB2 1PZ, UK. 2 Microsoft Research Ltd., 7 J J Thomson Ave,

13 Mar 2018: path-length. to train data i.e. good generalisation, however, it is not op-timal in classification time. ... 2008). Random kitchen sinks: replacing op-timization with randomization in learning. In Proc.

13 Mar 2018: Huffman coding [17] is related to our op-timisation. It minimises the weighted (by region prior in our problem) path length of code(region).

13 Mar 2018: engineering or graph op-timisation. ... This demonstrates that learning with the op-timum scale factor leads to the convnet uncovering a more accuratepose function.

13 Mar 2018: If the angles of the epipolar lines had op-posite signals in respect the horizontal axis, the points putunder correspondence by the epipolar geometry would be atopposite places in the bottom

13 Mar 2018: Please see Fig 1 for an illustration ofthese operations. We do not consider the other plausible op-erations for architectural refinement of CNN; for instance,arbitrary connection patterns between two layers ... 2. We introduce a strategy that starts with